Locations: Bristol, Canary Wharf, Leeds, Manchester, Newcastle, Sheffield This is a rare opportunity to lead and shape a newly established Data Science and Artificial Intelligence function within HMRC's Valuation Office. You'll help position the Valuation Office as a practical test bed for operational data science and AI , turning ideas into live solutions that support frontline decision making and improve public outcomes. You'll be joining at a pivotal moment, with the freedom to shape: How data science and AI are embedded into operations How teams across the organisation use insight How responsible and innovative AI is adopted in government What you'll be doing You'll work at senior level across the organisation, combining technical leadership with strategic influence. This includes: Setting the strategic direction for data science and AI across operational services Leading end to end delivery of data science and AI solutions, from concept to live use Working closely with Operations to solve real, complex problems Building strong relationships with senior leaders and stakeholders Developing and supporting a high performing, multidisciplinary team Championing a culture of innovation, inclusion and continuous learning You might be a great fit if you: Enjoy turning complex data into insight that drives real world decisions Have experience leading senior data science or AI teams Like working in environments where you can build and influence, not just deliver Care about using data responsibly to improve public services Ready to apply? If this role excites you but you don't meet every requirement, we'd still encourage you to apply. We're committed to building diverse, inclusive teams and are happy to discuss flexible working. Apply via Civil Service Jobs
May 06, 2026
Full time
Locations: Bristol, Canary Wharf, Leeds, Manchester, Newcastle, Sheffield This is a rare opportunity to lead and shape a newly established Data Science and Artificial Intelligence function within HMRC's Valuation Office. You'll help position the Valuation Office as a practical test bed for operational data science and AI , turning ideas into live solutions that support frontline decision making and improve public outcomes. You'll be joining at a pivotal moment, with the freedom to shape: How data science and AI are embedded into operations How teams across the organisation use insight How responsible and innovative AI is adopted in government What you'll be doing You'll work at senior level across the organisation, combining technical leadership with strategic influence. This includes: Setting the strategic direction for data science and AI across operational services Leading end to end delivery of data science and AI solutions, from concept to live use Working closely with Operations to solve real, complex problems Building strong relationships with senior leaders and stakeholders Developing and supporting a high performing, multidisciplinary team Championing a culture of innovation, inclusion and continuous learning You might be a great fit if you: Enjoy turning complex data into insight that drives real world decisions Have experience leading senior data science or AI teams Like working in environments where you can build and influence, not just deliver Care about using data responsibly to improve public services Ready to apply? If this role excites you but you don't meet every requirement, we'd still encourage you to apply. We're committed to building diverse, inclusive teams and are happy to discuss flexible working. Apply via Civil Service Jobs
Join as a Founder in Residence in Climate We're on the lookout for entrepreneurial individuals with technical and commercial domain expertise with keen interest in founding, and building a global scale, impact driven, high growth company from ground up. We are seeking applications from experienced industry, startup and/or new science or engineering based technology development professionals from anywhere in the world to work with us on the next generation of plastics recycling. You'll work closely with the DSV team and the current Founder in Residence for this area to co found and spin out a new company. Once the new venture is incorporated with pre seed investment from DSV, you and your co founder(s) will own the majority stake in the business and continue receiving support from the DSV team post spinout. The role is full time, remote initially until venture incorporation and spin out (circa Q1 2026). The Opportunity We are building a venture to transform waste polyolefins into high value, recyclable degradable packaging materials. Our novel process produces polymers with properties comparable to polypropylene but with dramatically improved end of life characteristics, including solvolysis recyclability and environmental degradability. We are seeking a commercially focused co founder to partner with our technical founder and lead all commercial activities from company formation through Series A and beyond. This is a ground floor opportunity to shape a business addressing the urgent challenge of plastic circularity. Our Approach We are developing an electrified, contaminant tolerant process capable of transforming polyolefin waste into chemicals that will form the basis of a new materials platform. Initially, we will be focusing on developing new packaging materials to tackle the global plastic waste problem. Over time, we anticipate the technology will have applications in various other sectors. It is our hope that this technology will act as a global polyolefin sink - enabling global recovery and reuse of polyolefins. The developed materials will be simpler to recycle than current technologies, and will have environmental compatbility designed in from day one. In order for us to make our vision real we are seeking to recruit a commercially focused cofounder to support our near term commercial objectives. The Role As Commercial Co-Founder, you will own the commercial strategy and execution for the venture. Working alongside the technical founder, you will be responsible for validating market demand, building customer and supplier relationships, navigating regulatory pathways, and securing the commercial proof points required to raise successive funding rounds. This is a hands on role. In the early stages, you will personally conduct customer interviews, negotiate agreements, and build financial models. As the company grows, you will recruit and lead a commercial team. Who We're Looking For Must-Have Experience (one of the following core tracks): Previous experience in a startup or early stage company environment A track record in fundraising, grant writing, and grant management Exposure to regulatory processes for chemicals or materials, and a strong network across relevant industries such as plastics, packaging, or waste management Essential Capabilities: Lead customer discovery to identify and prioritise target markets, building relationships from initial outreach through to binding offtake agreements, and refining value proposition based on market feedback Identify and secure feedstock supply partnerships with waste management companies, and develop strategic partnerships with distributors, compounders, and brand owners Co develop and maintain techno economic models and pricing strategy with the founding team, and lead commercial negotiations and contract structuring Lead fundraising efforts with commercial due diligence materials, building investor relationships and communicating commercial progress Contribute to overall company strategy as a member of the founding team Demonstrated B2B sales and business development experience, ideally in materials, chemicals, or related industrial sectors, with a track record from cold outreach to signed agreements Strong negotiation skills, financial literacy including the ability to build and interrogate financial models, and experience fundraising from venture capital and grants Comfort making decisions with incomplete information and prioritising opportunities with scarce resources Understanding of chemicals, polymers, or materials industry dynamics Willingness to operate across strategic and administrative tasks, with resilience, strong self direction, and ability to thrive in uncertain environments Excellent communication skills with the ability to build credibility across diverse stakeholders, present to senior executives and investors, and work collaboratively with a technical co founder Ability to recruit and lead team members as the company grows, with a desire to build and scale an organisation aligned with company mission and values Valuable "Nice to Haves": Experience managing customer application testing programmes, developing go to market strategy, and assessing partnership structures including distribution, licensing, and joint development Experience building quality and customer service systems, and recruiting commercial team members Ability to scope and manage regulatory pathways, coordinate with consultants and certification bodies, and substantiate environmental claims Experience identifying and securing grant funding, and developing long term expansion strategy Familiarity with the waste market, circular economy trends in plastics, recycling value chains, and regulatory frameworks for chemicals and materials By joining DSV, you will be part of a team of operators who have founded companies and led the translation of science at some of the most respected universities, charities, funds, and government agencies. Here's what we offer: Access to optimised, purpose built, proprietary tools, resources, and processes to help create high impact ventures from scratch; Opportunity area specific know how from our network of Partners and Advisors; Up to £250k in investment to incorporate the new venture and develop early proof of concept data; Guaranteed income of £4,166 per month paid as a fixed consultancy fee until the company is launched and the pre seed investment is secured; Majority equity stake in the new company betweenyou and your co founder(s); Continuous post spinout support, including fundraising, commercial partnerships, recruitment, and team building; Collaborative support from dozens of Founders currently at DSV across sectors. About DSV Deep Science Ventures (DSV) is on a mission to create a future in which both humans and the planet can thrive. We use our unique venture creation process to create, spin out, and invest in science companies, combining available scientific knowledge and founder type scientists into high impact ventures. Operating in four sectors-Pharmaceuticals, Climate, Agriculture, and Computation-we tackle the challenges defining these areas by taking a first principles approach and partnering with leading institutions.
May 05, 2026
Full time
Join as a Founder in Residence in Climate We're on the lookout for entrepreneurial individuals with technical and commercial domain expertise with keen interest in founding, and building a global scale, impact driven, high growth company from ground up. We are seeking applications from experienced industry, startup and/or new science or engineering based technology development professionals from anywhere in the world to work with us on the next generation of plastics recycling. You'll work closely with the DSV team and the current Founder in Residence for this area to co found and spin out a new company. Once the new venture is incorporated with pre seed investment from DSV, you and your co founder(s) will own the majority stake in the business and continue receiving support from the DSV team post spinout. The role is full time, remote initially until venture incorporation and spin out (circa Q1 2026). The Opportunity We are building a venture to transform waste polyolefins into high value, recyclable degradable packaging materials. Our novel process produces polymers with properties comparable to polypropylene but with dramatically improved end of life characteristics, including solvolysis recyclability and environmental degradability. We are seeking a commercially focused co founder to partner with our technical founder and lead all commercial activities from company formation through Series A and beyond. This is a ground floor opportunity to shape a business addressing the urgent challenge of plastic circularity. Our Approach We are developing an electrified, contaminant tolerant process capable of transforming polyolefin waste into chemicals that will form the basis of a new materials platform. Initially, we will be focusing on developing new packaging materials to tackle the global plastic waste problem. Over time, we anticipate the technology will have applications in various other sectors. It is our hope that this technology will act as a global polyolefin sink - enabling global recovery and reuse of polyolefins. The developed materials will be simpler to recycle than current technologies, and will have environmental compatbility designed in from day one. In order for us to make our vision real we are seeking to recruit a commercially focused cofounder to support our near term commercial objectives. The Role As Commercial Co-Founder, you will own the commercial strategy and execution for the venture. Working alongside the technical founder, you will be responsible for validating market demand, building customer and supplier relationships, navigating regulatory pathways, and securing the commercial proof points required to raise successive funding rounds. This is a hands on role. In the early stages, you will personally conduct customer interviews, negotiate agreements, and build financial models. As the company grows, you will recruit and lead a commercial team. Who We're Looking For Must-Have Experience (one of the following core tracks): Previous experience in a startup or early stage company environment A track record in fundraising, grant writing, and grant management Exposure to regulatory processes for chemicals or materials, and a strong network across relevant industries such as plastics, packaging, or waste management Essential Capabilities: Lead customer discovery to identify and prioritise target markets, building relationships from initial outreach through to binding offtake agreements, and refining value proposition based on market feedback Identify and secure feedstock supply partnerships with waste management companies, and develop strategic partnerships with distributors, compounders, and brand owners Co develop and maintain techno economic models and pricing strategy with the founding team, and lead commercial negotiations and contract structuring Lead fundraising efforts with commercial due diligence materials, building investor relationships and communicating commercial progress Contribute to overall company strategy as a member of the founding team Demonstrated B2B sales and business development experience, ideally in materials, chemicals, or related industrial sectors, with a track record from cold outreach to signed agreements Strong negotiation skills, financial literacy including the ability to build and interrogate financial models, and experience fundraising from venture capital and grants Comfort making decisions with incomplete information and prioritising opportunities with scarce resources Understanding of chemicals, polymers, or materials industry dynamics Willingness to operate across strategic and administrative tasks, with resilience, strong self direction, and ability to thrive in uncertain environments Excellent communication skills with the ability to build credibility across diverse stakeholders, present to senior executives and investors, and work collaboratively with a technical co founder Ability to recruit and lead team members as the company grows, with a desire to build and scale an organisation aligned with company mission and values Valuable "Nice to Haves": Experience managing customer application testing programmes, developing go to market strategy, and assessing partnership structures including distribution, licensing, and joint development Experience building quality and customer service systems, and recruiting commercial team members Ability to scope and manage regulatory pathways, coordinate with consultants and certification bodies, and substantiate environmental claims Experience identifying and securing grant funding, and developing long term expansion strategy Familiarity with the waste market, circular economy trends in plastics, recycling value chains, and regulatory frameworks for chemicals and materials By joining DSV, you will be part of a team of operators who have founded companies and led the translation of science at some of the most respected universities, charities, funds, and government agencies. Here's what we offer: Access to optimised, purpose built, proprietary tools, resources, and processes to help create high impact ventures from scratch; Opportunity area specific know how from our network of Partners and Advisors; Up to £250k in investment to incorporate the new venture and develop early proof of concept data; Guaranteed income of £4,166 per month paid as a fixed consultancy fee until the company is launched and the pre seed investment is secured; Majority equity stake in the new company betweenyou and your co founder(s); Continuous post spinout support, including fundraising, commercial partnerships, recruitment, and team building; Collaborative support from dozens of Founders currently at DSV across sectors. About DSV Deep Science Ventures (DSV) is on a mission to create a future in which both humans and the planet can thrive. We use our unique venture creation process to create, spin out, and invest in science companies, combining available scientific knowledge and founder type scientists into high impact ventures. Operating in four sectors-Pharmaceuticals, Climate, Agriculture, and Computation-we tackle the challenges defining these areas by taking a first principles approach and partnering with leading institutions.
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
May 05, 2026
Full time
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
May 05, 2026
Full time
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
May 05, 2026
Full time
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
# Principal Testing Rigs & Labs TechnicianMechanical Engineering Job DetailsLocationAbingdon, United KingdomEmployment TypeFull-timeSalary£57kLevelIndividual ContributorPosted# Principal Testing Rigs & Labs Technician Overview of ResponsibilitiesThe salary for this role is £57,117 (inclusive of a Specialist Allowance) . Onsite working is expected for 5 days each week. This role can be based at any of the following sites; Culham, Oxfordshire This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. The Role We are recruiting a Principal Testing Rigs & Labs Technician to provide senior level technical leadership within our experimental laboratories.This is a highly practical role, combining deep hands on expertise with day to day operational responsibility for testing rigs, laboratory equipment and experimental activities. You will be the principal technical authority for laboratory operations, ensuring experiments are built, commissioned and run safely, efficiently and to a high technical standard.Working closely with engineers, scientists and programme teams, you will translate experimental designs into robust, real world test setups, mentor technicians and apprentices, and help evolve laboratory capability to meet the needs of novel and emerging technologies. Key Accountabilities: Take day to day ownership of the safe and effective operation of testing rigs and laboratory facilities Act as the technical lead for experimental build, commissioning, operation and decommissioning activities Translate experimental designs into safe, buildable and high quality physical test setups Provide hands on leadership during complex or novel experimental work, troubleshooting issues and reducing technical risk Ensure laboratory assets, tooling and equipment are maintained, organised, calibrated and fit for purpose Lead risk assessment, safe systems of work and incident investigation within laboratory environments Generate and maintain technical procedures, experimental documentation and high quality test data records Support continuous improvement of laboratory processes, workflows, tooling and instrumentation Supervise, mentor and develop technicians and apprentices, setting high standards of professionalism and safety Engage with internal and external stakeholders to clarify requirements, provide expert guidance and manage expectations Deputise for the Testing Rigs and Labs Operations Manager when requiredSalary£57,117 (inclusive of Specialist Allowance) + excellent benefits including outstanding pensionProgrammeDepartmentTechnology DepartmentDisciplineSite LocationType of EmploymentFull-timeReference NumberREF4128H Qualifications Essential Requirements: A relevant technical qualification in a STEM discipline, or equivalent practical experience Extensive hands on experience in laboratory, prototype or experimental test environments Strong mechanical and/or electrical technical capability Experience delivering and operating complex experimental setups (e.g. pressure, vacuum, cryogenic or high voltage systems) Proven ability to take ownership of laboratory operations and experimental delivery Ability to interpret and produce engineering and technical documentation Experience supervising, mentoring or coaching technical staff or apprentices Strong organisational and problem solving skills, with the ability to work autonomously Desirable Requirements: Degree in engineering or a related discipline Knowledge of manufacturing machining (e.g. milling & turning) Experience working in R&D or novel technology environments Familiarity with laboratory compliance frameworks (e.g. COSHH, PUWER, LOLER or similar) Experience integrating instrumentation, control systems or data acquisition into experimental rigs Involvement in laboratory upgrades, facility fit out or new capability introduction Additional Information: This role requires regular hands on work in laboratory and workshop environments Additional InformationA full list of our benefits can be found hereUKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, and inclusion and strive to ensure fair representation across our workforce. We particularly encourage applications from groups currently underrepresented in STEM, including women and individuals from diverse ethnic backgrounds, while ensuring all appointments are made on merit.UK Atomic Energy Authority is committed to being accessible. Please email if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications. Get Fusion Job AlertsNew fusion energy jobs delivered to your inbox.LocationAbingdon, United Kingdom
May 04, 2026
Full time
# Principal Testing Rigs & Labs TechnicianMechanical Engineering Job DetailsLocationAbingdon, United KingdomEmployment TypeFull-timeSalary£57kLevelIndividual ContributorPosted# Principal Testing Rigs & Labs Technician Overview of ResponsibilitiesThe salary for this role is £57,117 (inclusive of a Specialist Allowance) . Onsite working is expected for 5 days each week. This role can be based at any of the following sites; Culham, Oxfordshire This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. The Role We are recruiting a Principal Testing Rigs & Labs Technician to provide senior level technical leadership within our experimental laboratories.This is a highly practical role, combining deep hands on expertise with day to day operational responsibility for testing rigs, laboratory equipment and experimental activities. You will be the principal technical authority for laboratory operations, ensuring experiments are built, commissioned and run safely, efficiently and to a high technical standard.Working closely with engineers, scientists and programme teams, you will translate experimental designs into robust, real world test setups, mentor technicians and apprentices, and help evolve laboratory capability to meet the needs of novel and emerging technologies. Key Accountabilities: Take day to day ownership of the safe and effective operation of testing rigs and laboratory facilities Act as the technical lead for experimental build, commissioning, operation and decommissioning activities Translate experimental designs into safe, buildable and high quality physical test setups Provide hands on leadership during complex or novel experimental work, troubleshooting issues and reducing technical risk Ensure laboratory assets, tooling and equipment are maintained, organised, calibrated and fit for purpose Lead risk assessment, safe systems of work and incident investigation within laboratory environments Generate and maintain technical procedures, experimental documentation and high quality test data records Support continuous improvement of laboratory processes, workflows, tooling and instrumentation Supervise, mentor and develop technicians and apprentices, setting high standards of professionalism and safety Engage with internal and external stakeholders to clarify requirements, provide expert guidance and manage expectations Deputise for the Testing Rigs and Labs Operations Manager when requiredSalary£57,117 (inclusive of Specialist Allowance) + excellent benefits including outstanding pensionProgrammeDepartmentTechnology DepartmentDisciplineSite LocationType of EmploymentFull-timeReference NumberREF4128H Qualifications Essential Requirements: A relevant technical qualification in a STEM discipline, or equivalent practical experience Extensive hands on experience in laboratory, prototype or experimental test environments Strong mechanical and/or electrical technical capability Experience delivering and operating complex experimental setups (e.g. pressure, vacuum, cryogenic or high voltage systems) Proven ability to take ownership of laboratory operations and experimental delivery Ability to interpret and produce engineering and technical documentation Experience supervising, mentoring or coaching technical staff or apprentices Strong organisational and problem solving skills, with the ability to work autonomously Desirable Requirements: Degree in engineering or a related discipline Knowledge of manufacturing machining (e.g. milling & turning) Experience working in R&D or novel technology environments Familiarity with laboratory compliance frameworks (e.g. COSHH, PUWER, LOLER or similar) Experience integrating instrumentation, control systems or data acquisition into experimental rigs Involvement in laboratory upgrades, facility fit out or new capability introduction Additional Information: This role requires regular hands on work in laboratory and workshop environments Additional InformationA full list of our benefits can be found hereUKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, and inclusion and strive to ensure fair representation across our workforce. We particularly encourage applications from groups currently underrepresented in STEM, including women and individuals from diverse ethnic backgrounds, while ensuring all appointments are made on merit.UK Atomic Energy Authority is committed to being accessible. Please email if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications. Get Fusion Job AlertsNew fusion energy jobs delivered to your inbox.LocationAbingdon, United Kingdom
Job Title: Senior Solutions Engineer Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly. Atreides transforms the chaos of petabyte-scale, all-domain data-land, air, sea, space, and cyber-into real-time operational clarity. We are a fast-moving, high-performance international scale company. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous. Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries. Position Overview: As a Senior Solutions Engineer, you will lead the design and delivery of advanced, customer-facing data solutions built on top of our core platform. Your work will focus on building end-to-end workflows, contributing to core workflow templates, creating reusable solution patterns, and guiding product-aligned R&D efforts that inform the evolution of our data platform. You'll collaborate closely with customer analysts, internal data scientists, and Platform Engineering to ensure solutions are accurate, scalable, and grounded in operational needs. This role is ideal for someone who can operate independently in ambiguous, fast-moving environments, prototype new workflows with high technical rigor, and take initiative to scale learnings across deployments and teams. Team Principles: Remain curious and passionate in all aspects of our work Promote clear, direct, and transparent communication Embrace the "measure twice, cut once" philosophy Value and encourage diverse ideas and technologies Lead with empathy in all interactions Responsibilities: Architect reusable patterns for configuring and adapting platform outputs to customer needs. Lead end-to-end data integration efforts for complex or sensitive customer datasets. Work with domain expert analysts to define QA and validation strategies to ensure analytical outputs meet customer reliability standards. Guide the creation of tools and templates that simplify future integrations. Conduct high-impact custom analyses in response to analyst inquiries. Act as a technical point-of-contact for customer engagements and feedback loops. Desired Qualifications: 5+ years in data engineering, with experience in platform configuration and customer deployment. Deep skills in scripting, SQL (Spark SQL preferred), API integration, and cloud-native operations. Experience designing quality assurance workflows and integrating validation logic into production pipelines. Familiarity with data visualization tools and diagnostic methods for complex data systems. Excellent communication and leadership skills, with a track record of cross-functional collaboration. Compensation and Benefits: Competitive salary Comprehensive health, dental, and vision insurance plans Flexible hybrid work environment Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.
May 04, 2026
Full time
Job Title: Senior Solutions Engineer Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly. Atreides transforms the chaos of petabyte-scale, all-domain data-land, air, sea, space, and cyber-into real-time operational clarity. We are a fast-moving, high-performance international scale company. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous. Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries. Position Overview: As a Senior Solutions Engineer, you will lead the design and delivery of advanced, customer-facing data solutions built on top of our core platform. Your work will focus on building end-to-end workflows, contributing to core workflow templates, creating reusable solution patterns, and guiding product-aligned R&D efforts that inform the evolution of our data platform. You'll collaborate closely with customer analysts, internal data scientists, and Platform Engineering to ensure solutions are accurate, scalable, and grounded in operational needs. This role is ideal for someone who can operate independently in ambiguous, fast-moving environments, prototype new workflows with high technical rigor, and take initiative to scale learnings across deployments and teams. Team Principles: Remain curious and passionate in all aspects of our work Promote clear, direct, and transparent communication Embrace the "measure twice, cut once" philosophy Value and encourage diverse ideas and technologies Lead with empathy in all interactions Responsibilities: Architect reusable patterns for configuring and adapting platform outputs to customer needs. Lead end-to-end data integration efforts for complex or sensitive customer datasets. Work with domain expert analysts to define QA and validation strategies to ensure analytical outputs meet customer reliability standards. Guide the creation of tools and templates that simplify future integrations. Conduct high-impact custom analyses in response to analyst inquiries. Act as a technical point-of-contact for customer engagements and feedback loops. Desired Qualifications: 5+ years in data engineering, with experience in platform configuration and customer deployment. Deep skills in scripting, SQL (Spark SQL preferred), API integration, and cloud-native operations. Experience designing quality assurance workflows and integrating validation logic into production pipelines. Familiarity with data visualization tools and diagnostic methods for complex data systems. Excellent communication and leadership skills, with a track record of cross-functional collaboration. Compensation and Benefits: Competitive salary Comprehensive health, dental, and vision insurance plans Flexible hybrid work environment Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.
Overview Morgan Advanced Materials is a business rich in history and innovation. Founded in the UK in 1856, we have grown into a global organisation with 70 sites in 18 countries. Our model to serve our customers where they need us has led to a diversified product range using our unparalleled expertise in ceramic and carbon materials, which we exploit to solve difficult problems for our customers across a diverse range of markets. We are a purpose driven organisation. Our purpose is to use advanced materials to make the world more sustainable and to improve the quality of life. We deliver on that purpose through the products that we make, and the way that we make them. The Technical Ceramics business of Morgan Advanced Materials engineers high performance functional and structural ceramic materials, components and sub-assemblies to address customer-specific technical challenges. Key Figures:Revenue £1,100.7m (2024), 8,000 employees, manufacturing in 20+ countries, and a global customer portfolio. A UK PLC with head office located in Windsor, Berkshire UK. Listed on London Stock Exchange; Member of the FTSE 250 Index. Responsibilities Morgan Advanced Materials is a world leader in advanced materials development and production. We produce a wide range of specialist, high specification materials that have extraordinary attributes and properties. Despite the complexity of our technologies, our focus is simple - we supply innovative, differentiated products made from advanced materials which enable our customers' products to perform more efficiently, more reliably and for longer. Material science is pivotal to our Company's success as it is a key constituent to developing our distinctive competencies that differentiate our business from the competition. The Structural Ceramics Global Centre of Excellence serves our global customers by developing new, differentiated materials technologies for structural ceramics applications. The Centre of Excellence leads in innovating new formulations and processes, serves as a hub for academic collaboration on structural ceramics with key university faculties worldwide and acts as a focal point for R&D with raw material suppliers. It allows Morgan to focus on both idea generation and execution in one integrated facility, with the ultimate aim of maximising the performance of our customers' applications and processes. This Senior Materials Scientist role extends that of the Materials Scientist in taking individual lead on strategic projects for the business, providing a source of technology expertise within the CoE and across the wider business and in leading, guiding and mentoring Materials Scientists within the group. The individual will have demonstrable technical skill and an ability to apply their core skills across a wide range of technical challenges, being able to swiftly learn new technical areas and working beyond past discrete experiences. Principal Objectives Lead strategic development programmes to enhance material, processor product performance Lead the definition, planning and execution of the technology development programmes to achieve success. Act as a source of Materials Science and technology expertise across the CoE and the wider Morgan Global Business Units Represent the CoE at a GBU level in technology relevant activities and on a wider basis represent Morgan in external interactions Supervise, guide and mentor Materials Scientists Design, organise and carry out material analysis, development, production and processing trials at laboratory, pilot and production scales. Interact with global raw materials or equipment suppliers and research facilities to coordinate support for the R&D program, and to organise external testing programs to benchmark and develop capabilities. Define, plan, direct and supervise the day to day activities of technicians supporting projects Assess, analyse and interpret development results, adapting and iterating project activities to achieve the desired outcomes within an optimised timescale. Ensure high standards of operational management including measurement control and data recording. Where necessary to develop new or improved development or testing methods. Apply existing knowledge of materials and processes to maximise benefits to the business through increased sales revenue and lower operating costs. Develop quicker and more efficient routes and processes for materials development Identify, quantify and communicate improvement opportunities relating to materials science and manufacture. Support recruitment of technical employees and build links with technology contacts both within and external to the Morgan portfolio. Peer review the work of others to maintain technical standards Support and enhance the company's commitment to the highest standards of Health and Safety and ensure all policies are adhered to during daily working. Investigate and resolve technical issues that may arise in the manufacturing process or products. Qualifications Educated to PhD level or equivalent experience in Materials Science or a closely related scientific field. Candidates with proven R&D experience and expertise in ceramic manufacturing would be particularly attractive. Experience leading project delivery to meet stakeholder requirements, leading projects of scale; directing, supervising and mentoring technologists and technician staff, collaborating across multiple time zones and cultures. Ability to take ownership of a complex problem and work in a structured manner to develop a solution by following an evidence-led development path. Act as a source of technical competency both within the group and across the wider relevant business portfolio. Demonstrate a good understanding of the commercial drivers and benefits associated with development and the steer of activity towards pragmatic and fundamental goals. Excellent record keeping of laboratory experiments. Ability to communicate complex ideas clearly to a non-technical audience. Can understand and analyse complex data. Is able to spot flaws and trends and work around these. Able to apply scientific reasoning to complex industrial situations. Able to locate & exploit relevant technology from other industries. An innovative and logical thinker. Energetic, enthusiastic, flexible and adaptable. Willing to offer a 'hands on' approach. Willing to travel nationally and internationally. Able to prioritise work according to business need. Competent carrying out COSHH and risk assessments and works with a focus on Health and Safety. Able to delegate work according to business need and technical strategy. Attributes Be a self-motivated and proactive individual. Work effectively with people beyond educational / age / background peer group. Leadership and mentorship qualities. Be able to work as part of a team. Be able to communicate effectively with people at all levels. Be persistent, energetic & enthusiastic and adaptable to achieve objectives. Pursue continuous improvement, both in the workplace and in their own skills & knowledge. Be customer and supplier facing. Encourage and develop others to achieve personal and team objectives. Morgan Advanced Materials is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, religion, gender, sexual orientation, gender identity, age, disability, national origin, veteran status, or any other legally protected status. Ind-1
May 04, 2026
Full time
Overview Morgan Advanced Materials is a business rich in history and innovation. Founded in the UK in 1856, we have grown into a global organisation with 70 sites in 18 countries. Our model to serve our customers where they need us has led to a diversified product range using our unparalleled expertise in ceramic and carbon materials, which we exploit to solve difficult problems for our customers across a diverse range of markets. We are a purpose driven organisation. Our purpose is to use advanced materials to make the world more sustainable and to improve the quality of life. We deliver on that purpose through the products that we make, and the way that we make them. The Technical Ceramics business of Morgan Advanced Materials engineers high performance functional and structural ceramic materials, components and sub-assemblies to address customer-specific technical challenges. Key Figures:Revenue £1,100.7m (2024), 8,000 employees, manufacturing in 20+ countries, and a global customer portfolio. A UK PLC with head office located in Windsor, Berkshire UK. Listed on London Stock Exchange; Member of the FTSE 250 Index. Responsibilities Morgan Advanced Materials is a world leader in advanced materials development and production. We produce a wide range of specialist, high specification materials that have extraordinary attributes and properties. Despite the complexity of our technologies, our focus is simple - we supply innovative, differentiated products made from advanced materials which enable our customers' products to perform more efficiently, more reliably and for longer. Material science is pivotal to our Company's success as it is a key constituent to developing our distinctive competencies that differentiate our business from the competition. The Structural Ceramics Global Centre of Excellence serves our global customers by developing new, differentiated materials technologies for structural ceramics applications. The Centre of Excellence leads in innovating new formulations and processes, serves as a hub for academic collaboration on structural ceramics with key university faculties worldwide and acts as a focal point for R&D with raw material suppliers. It allows Morgan to focus on both idea generation and execution in one integrated facility, with the ultimate aim of maximising the performance of our customers' applications and processes. This Senior Materials Scientist role extends that of the Materials Scientist in taking individual lead on strategic projects for the business, providing a source of technology expertise within the CoE and across the wider business and in leading, guiding and mentoring Materials Scientists within the group. The individual will have demonstrable technical skill and an ability to apply their core skills across a wide range of technical challenges, being able to swiftly learn new technical areas and working beyond past discrete experiences. Principal Objectives Lead strategic development programmes to enhance material, processor product performance Lead the definition, planning and execution of the technology development programmes to achieve success. Act as a source of Materials Science and technology expertise across the CoE and the wider Morgan Global Business Units Represent the CoE at a GBU level in technology relevant activities and on a wider basis represent Morgan in external interactions Supervise, guide and mentor Materials Scientists Design, organise and carry out material analysis, development, production and processing trials at laboratory, pilot and production scales. Interact with global raw materials or equipment suppliers and research facilities to coordinate support for the R&D program, and to organise external testing programs to benchmark and develop capabilities. Define, plan, direct and supervise the day to day activities of technicians supporting projects Assess, analyse and interpret development results, adapting and iterating project activities to achieve the desired outcomes within an optimised timescale. Ensure high standards of operational management including measurement control and data recording. Where necessary to develop new or improved development or testing methods. Apply existing knowledge of materials and processes to maximise benefits to the business through increased sales revenue and lower operating costs. Develop quicker and more efficient routes and processes for materials development Identify, quantify and communicate improvement opportunities relating to materials science and manufacture. Support recruitment of technical employees and build links with technology contacts both within and external to the Morgan portfolio. Peer review the work of others to maintain technical standards Support and enhance the company's commitment to the highest standards of Health and Safety and ensure all policies are adhered to during daily working. Investigate and resolve technical issues that may arise in the manufacturing process or products. Qualifications Educated to PhD level or equivalent experience in Materials Science or a closely related scientific field. Candidates with proven R&D experience and expertise in ceramic manufacturing would be particularly attractive. Experience leading project delivery to meet stakeholder requirements, leading projects of scale; directing, supervising and mentoring technologists and technician staff, collaborating across multiple time zones and cultures. Ability to take ownership of a complex problem and work in a structured manner to develop a solution by following an evidence-led development path. Act as a source of technical competency both within the group and across the wider relevant business portfolio. Demonstrate a good understanding of the commercial drivers and benefits associated with development and the steer of activity towards pragmatic and fundamental goals. Excellent record keeping of laboratory experiments. Ability to communicate complex ideas clearly to a non-technical audience. Can understand and analyse complex data. Is able to spot flaws and trends and work around these. Able to apply scientific reasoning to complex industrial situations. Able to locate & exploit relevant technology from other industries. An innovative and logical thinker. Energetic, enthusiastic, flexible and adaptable. Willing to offer a 'hands on' approach. Willing to travel nationally and internationally. Able to prioritise work according to business need. Competent carrying out COSHH and risk assessments and works with a focus on Health and Safety. Able to delegate work according to business need and technical strategy. Attributes Be a self-motivated and proactive individual. Work effectively with people beyond educational / age / background peer group. Leadership and mentorship qualities. Be able to work as part of a team. Be able to communicate effectively with people at all levels. Be persistent, energetic & enthusiastic and adaptable to achieve objectives. Pursue continuous improvement, both in the workplace and in their own skills & knowledge. Be customer and supplier facing. Encourage and develop others to achieve personal and team objectives. Morgan Advanced Materials is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, religion, gender, sexual orientation, gender identity, age, disability, national origin, veteran status, or any other legally protected status. Ind-1
Experienced Software Engineer page is loaded Experienced Software Engineerlocations: GBR-Wales-Newport-Celtic Lakes-KLAtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Company Overview The SPTS division of KLA, designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry leading etch and deposition process technologies on a range of single wafer handling platforms. End-market applications include micro-electromechanical systems (MEMS), advanced packaging, LED, high speed RF device IC's and power semiconductors. SPTS is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process. Job Description/Preferred Qualifications Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process. Job Description/Preferred Qualifications At KLA, we don't just build software, we enable breakthroughs that power the next generation of technology. Our eBeam Division is looking for a passionate Experienced Software Engineer to join a team that is shaping the future of semiconductor manufacturing, driving innovations that improve lives worldwide. Impact That Matters: Your work will directly influence cutting-edge products used by the world's leading technology companies. Collaborate Globally: Work alongside top talent across multiple regions and disciplines in a culture that values innovation and excellence. Grow Without Limits: From designing and leading feature development to delivering end-to-end solutions, you'll have opportunities to learn, lead, and make a difference. What You'll Do Design and develop high-quality, scalable software solutions for current and next-generation products. Own the full software development lifecycle-from requirements to delivery-while advocating clean coding practices. Analyze complex requirements, improve usability and performance, and develop prototypes for new concepts. Solve challenging problems that span systems and organizations, applying optimal architecture principles for multi-product scalability. What We're Looking For Hands-on experience in software development with C#, C++ or Java. Knowledge of Python is advantageous. Educational background in Computer Engineering, Physics, Applied Mathematics, Electronics, or a related field. Experience of numerical programming, computation mathematics and algorithms, or image processing is preferred. Comfort and proficiency with object-oriented programming (OOP) languages. Experience in mechatronics would be advantageous Strong analytical and problem-solving skills. Proficiency in software design, debugging, testing, and documentation. Excellent communication and collaboration skills across diverse teams and geographies What Sets You Apart You're a big-picture thinker with strong computer science fundamentals, an innovator who loves connecting the dots, and someone who thrives on delivering indispensable value to customers.This role will involve occasional travel of approximately 10% KLA's benefits package includes: Annual leave starting at 25 days (plus bank holidays), contributory pension scheme, cash health plan, cycle to work scheme, global bonus plan, share scheme, rewards scheme, life assurance, generous shift allowance and overtime premiums. Minimum Qualifications We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email
May 03, 2026
Full time
Experienced Software Engineer page is loaded Experienced Software Engineerlocations: GBR-Wales-Newport-Celtic Lakes-KLAtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Company Overview The SPTS division of KLA, designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry leading etch and deposition process technologies on a range of single wafer handling platforms. End-market applications include micro-electromechanical systems (MEMS), advanced packaging, LED, high speed RF device IC's and power semiconductors. SPTS is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process. Job Description/Preferred Qualifications Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process. Job Description/Preferred Qualifications At KLA, we don't just build software, we enable breakthroughs that power the next generation of technology. Our eBeam Division is looking for a passionate Experienced Software Engineer to join a team that is shaping the future of semiconductor manufacturing, driving innovations that improve lives worldwide. Impact That Matters: Your work will directly influence cutting-edge products used by the world's leading technology companies. Collaborate Globally: Work alongside top talent across multiple regions and disciplines in a culture that values innovation and excellence. Grow Without Limits: From designing and leading feature development to delivering end-to-end solutions, you'll have opportunities to learn, lead, and make a difference. What You'll Do Design and develop high-quality, scalable software solutions for current and next-generation products. Own the full software development lifecycle-from requirements to delivery-while advocating clean coding practices. Analyze complex requirements, improve usability and performance, and develop prototypes for new concepts. Solve challenging problems that span systems and organizations, applying optimal architecture principles for multi-product scalability. What We're Looking For Hands-on experience in software development with C#, C++ or Java. Knowledge of Python is advantageous. Educational background in Computer Engineering, Physics, Applied Mathematics, Electronics, or a related field. Experience of numerical programming, computation mathematics and algorithms, or image processing is preferred. Comfort and proficiency with object-oriented programming (OOP) languages. Experience in mechatronics would be advantageous Strong analytical and problem-solving skills. Proficiency in software design, debugging, testing, and documentation. Excellent communication and collaboration skills across diverse teams and geographies What Sets You Apart You're a big-picture thinker with strong computer science fundamentals, an innovator who loves connecting the dots, and someone who thrives on delivering indispensable value to customers.This role will involve occasional travel of approximately 10% KLA's benefits package includes: Annual leave starting at 25 days (plus bank holidays), contributory pension scheme, cash health plan, cycle to work scheme, global bonus plan, share scheme, rewards scheme, life assurance, generous shift allowance and overtime premiums. Minimum Qualifications We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email
Head of Data Science & AI Hybrid in London, United Kingdom We're looking for a Head of Data Science & AI You'll lead iwoca's data science function - a group building probabilistic and statistical models that make real-time lending decisions. You'll also be a key part of how iwoca embeds AI across the wider business: setting the pace yourself, and raising capability beyond your direct team. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct commercial consequences - it's more than exploratory analysis. The function is now embedding AI into how that work gets done. Successfully leading it will require close collaboration with engineering, product, and commercial teams. The role As Head of Data Science & AI, you'll shape how a technically sophisticated team works - and influence how the wider business adopts AI. Doing that well requires a deep understanding of the modelling work: where AI genuinely changes the work, where it speeds things up, and where a different approach is better. You'll judge what's actually possible with these tools - and challenge the assumptions when the rationale isn't clear. iwoca's data scientists build probabilistic ML models on credit and commercial data, deployed in production, making real-time lending decisions across lending, product, operations, and strategy. The group has approximately 25 data scientists, split across a central team and smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. AI enablement and adoption You'll set the standard for how AI is used across the group - establishing practices that make adoption safe and repeatable, and creating the conditions for a technically sophisticated group to advance together. Strategic direction You'll influence where the group invests its resources - deciding what to model, where AI accelerates the work, and where a lighter approach is more effective. You'll shape commercial and product decisions by making analytical trade-offs legible to senior stakeholders, and work with team leads to plan and prioritise across multiple streams. People and team You'll develop the people around you - raising capability across the group through clear standards, direct coaching, and a genuine investment in how data scientists grow. You'll spot where the gaps are and help close them. You'll also own hiring, shaping how the group assesses and develops talent as it grows. Commercial opportunity and coordination You'll spot commercial opportunities across the business - where modelling or AI can change outcomes - and work with Engineering, Product, and Operations teams to act on them. You'll represent the group in discussions that shape lending, risk, and product decisions, explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential High AI agency: You actively experiment with AI in your analytical and technical workflows. You use tools like Claude Code, Codex, or similar to build, automate, and accelerate substantive work. You have a clear view on how AI changes what a data science team does and a track record of raising capability across the people around you, not just your own output. Transformation track record: You have led a meaningful shift in how an analytical or data science team works. You are comfortable navigating resistance, building adoption across different types of people, and making change persist beyond your direct involvement. Technical background: You have a background in probability, statistics, or a related quantitative field, with hands on experience building and overseeing probabilistic ML models on structured commercial or financial data. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade offs between depth, delivery time, and value. Strategic leadership: You have experience setting data science strategy, aligning work with commercial goals, and translating technical modelling for senior stakeholders so they can act on it. People and team: You have experience managing a data science team, setting clear standards, and developing people - including having direct conversations about where the gap is and how to close it. Bonus: Domain experience: You have worked in credit risk, lending, or customer lifetime value modelling. Function scale: You have led a data science team of 20 or more people across multiple teams. R&D and forecasting: You have experience shaping a modelling agenda, including probabilistic or long term forecasting work. Industry profile: You have represented a data science team externally - industry events, publications, or advisory roles. The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
May 03, 2026
Full time
Head of Data Science & AI Hybrid in London, United Kingdom We're looking for a Head of Data Science & AI You'll lead iwoca's data science function - a group building probabilistic and statistical models that make real-time lending decisions. You'll also be a key part of how iwoca embeds AI across the wider business: setting the pace yourself, and raising capability beyond your direct team. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct commercial consequences - it's more than exploratory analysis. The function is now embedding AI into how that work gets done. Successfully leading it will require close collaboration with engineering, product, and commercial teams. The role As Head of Data Science & AI, you'll shape how a technically sophisticated team works - and influence how the wider business adopts AI. Doing that well requires a deep understanding of the modelling work: where AI genuinely changes the work, where it speeds things up, and where a different approach is better. You'll judge what's actually possible with these tools - and challenge the assumptions when the rationale isn't clear. iwoca's data scientists build probabilistic ML models on credit and commercial data, deployed in production, making real-time lending decisions across lending, product, operations, and strategy. The group has approximately 25 data scientists, split across a central team and smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. AI enablement and adoption You'll set the standard for how AI is used across the group - establishing practices that make adoption safe and repeatable, and creating the conditions for a technically sophisticated group to advance together. Strategic direction You'll influence where the group invests its resources - deciding what to model, where AI accelerates the work, and where a lighter approach is more effective. You'll shape commercial and product decisions by making analytical trade-offs legible to senior stakeholders, and work with team leads to plan and prioritise across multiple streams. People and team You'll develop the people around you - raising capability across the group through clear standards, direct coaching, and a genuine investment in how data scientists grow. You'll spot where the gaps are and help close them. You'll also own hiring, shaping how the group assesses and develops talent as it grows. Commercial opportunity and coordination You'll spot commercial opportunities across the business - where modelling or AI can change outcomes - and work with Engineering, Product, and Operations teams to act on them. You'll represent the group in discussions that shape lending, risk, and product decisions, explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential High AI agency: You actively experiment with AI in your analytical and technical workflows. You use tools like Claude Code, Codex, or similar to build, automate, and accelerate substantive work. You have a clear view on how AI changes what a data science team does and a track record of raising capability across the people around you, not just your own output. Transformation track record: You have led a meaningful shift in how an analytical or data science team works. You are comfortable navigating resistance, building adoption across different types of people, and making change persist beyond your direct involvement. Technical background: You have a background in probability, statistics, or a related quantitative field, with hands on experience building and overseeing probabilistic ML models on structured commercial or financial data. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade offs between depth, delivery time, and value. Strategic leadership: You have experience setting data science strategy, aligning work with commercial goals, and translating technical modelling for senior stakeholders so they can act on it. People and team: You have experience managing a data science team, setting clear standards, and developing people - including having direct conversations about where the gap is and how to close it. Bonus: Domain experience: You have worked in credit risk, lending, or customer lifetime value modelling. Function scale: You have led a data science team of 20 or more people across multiple teams. R&D and forecasting: You have experience shaping a modelling agenda, including probabilistic or long term forecasting work. Industry profile: You have represented a data science team externally - industry events, publications, or advisory roles. The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
What you'll do As a Supply Scientist, you'll investigate water quality issues, guide operational decision making and build strong relationships across the business, all to ensure our customers continue to receive safe, high quality drinking water. Your key responsibilities will include: leading investigations into water quality incidents and customer contacts, directing immediate actions and identifying root causes and long term solutions producing clear, evidence based reports that support operational and regulatory decision making building strong partnerships with water production, networks, catchment, compliance, engineering and laboratory teams communicating complex scientific issues simply and confidently to senior stakeholders reviewing Drinking Water Safety Plan (DWSP) risks from source to tap, ensuring compliance with regulatory and company standards analysing trends in chemical, physical and microbial water quality data to identify emerging risks and recommend practical interventions maintaining operator training materials and supporting upskilling across operational teams supporting environmental compliance, including OSM requirements and pollution reporting managing the return of activated carbon after regeneration, carrying out jar testing to optimise chemical use and analysing algae in our impounding reservoirs. A valid driving licence is essential for this hybrid office/site based role, with regular visits required to water treatment centres and network sites. Normal working hours are 08:00 to 16:00 Monday to Friday. What you'll need A relevant scientific degree (or equivalent experience). Proven ability to make clear, defensible decisions. Exceptional communication skills; able to craft precise regulatory reports and brief senior leaders. Credibility and great interpersonal skills to develop effective working relationships and assist multidisciplinary teams to maintain focus on drinking water quality at all times. Comfortable with data, root cause thinking and translating analysis into operational action. What you'll receive A combined pension contribution of up to 20%. Career progression and professional development opportunities. 25 days' holiday rising to 28 with length of service. The opportunity to sell up to five days of holiday every year. The opportunity to buy up to ten days of holiday each year (subject to conditions). A healthcare package that allows you to claim back healthcare costs. Life assurance of up to eight times your salary. The opportunity to lease a new electric car through salary sacrifice (subject to conditions). Cashback and discounts from more than 3,000 retailers. One paid volunteering day each year. Enhanced family leave and pay arrangements. Access toan interactive health and wellbeing platform. Support from trainedmental health first aiders. A £1,000 referral fee if you recommend someone who is successfully recruited by us. We are passionate about diversity and inclusion - with that in mind, all applicants are welcome. We are delighted to have signed the Armed Forces Covenant and are a Disability Confident Employer.
May 02, 2026
Full time
What you'll do As a Supply Scientist, you'll investigate water quality issues, guide operational decision making and build strong relationships across the business, all to ensure our customers continue to receive safe, high quality drinking water. Your key responsibilities will include: leading investigations into water quality incidents and customer contacts, directing immediate actions and identifying root causes and long term solutions producing clear, evidence based reports that support operational and regulatory decision making building strong partnerships with water production, networks, catchment, compliance, engineering and laboratory teams communicating complex scientific issues simply and confidently to senior stakeholders reviewing Drinking Water Safety Plan (DWSP) risks from source to tap, ensuring compliance with regulatory and company standards analysing trends in chemical, physical and microbial water quality data to identify emerging risks and recommend practical interventions maintaining operator training materials and supporting upskilling across operational teams supporting environmental compliance, including OSM requirements and pollution reporting managing the return of activated carbon after regeneration, carrying out jar testing to optimise chemical use and analysing algae in our impounding reservoirs. A valid driving licence is essential for this hybrid office/site based role, with regular visits required to water treatment centres and network sites. Normal working hours are 08:00 to 16:00 Monday to Friday. What you'll need A relevant scientific degree (or equivalent experience). Proven ability to make clear, defensible decisions. Exceptional communication skills; able to craft precise regulatory reports and brief senior leaders. Credibility and great interpersonal skills to develop effective working relationships and assist multidisciplinary teams to maintain focus on drinking water quality at all times. Comfortable with data, root cause thinking and translating analysis into operational action. What you'll receive A combined pension contribution of up to 20%. Career progression and professional development opportunities. 25 days' holiday rising to 28 with length of service. The opportunity to sell up to five days of holiday every year. The opportunity to buy up to ten days of holiday each year (subject to conditions). A healthcare package that allows you to claim back healthcare costs. Life assurance of up to eight times your salary. The opportunity to lease a new electric car through salary sacrifice (subject to conditions). Cashback and discounts from more than 3,000 retailers. One paid volunteering day each year. Enhanced family leave and pay arrangements. Access toan interactive health and wellbeing platform. Support from trainedmental health first aiders. A £1,000 referral fee if you recommend someone who is successfully recruited by us. We are passionate about diversity and inclusion - with that in mind, all applicants are welcome. We are delighted to have signed the Armed Forces Covenant and are a Disability Confident Employer.
# Senior Testing Rigs & Labs TechnicianMechanical Engineering Job DetailsLocationAbingdon, United KingdomEmployment TypeFull-timeSalary£43kLevelIndividual ContributorPosted# Senior Testing Rigs & Labs Technician Overview of ResponsibilitiesThe salary for this role is £ 43,702 (inclusive of a Specialist Allowance) . Onsite working is expected for 5 days each week. This role can be based at any of the following sites; Culham, Oxfordshire This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. The Role We are seeking a Senior Testing Rigs & Labs Technician to provide advanced hands on technical support within our experimental laboratories.In this role, you will play a key part in building, operating and maintaining testing rigs and laboratory systems that support prototype development and experimental programmes. You will work closely with engineers, scientists and other technicians, applying practical expertise to ensure experiments are delivered safely, efficiently and to a high technical standard.You will act as a subject matter specialist in defined areas of laboratory practice, take ownership of discrete work activities, and support the development of junior technicians and apprentices. Key Responsibilities: Carry out hands on laboratory and experimental work, including fabrication, assembly, integration, commissioning, operation and decommissioning of testing rigs and equipment Support the safe and effective day to day operation of testing rigs and laboratory facilities Apply practical expertise to translate drawings, schematics and test plans into robust physical setups Identify and resolve technical issues during builds and experimental operations, escalating novel or higher risk problems as required Contribute to risk assessments, method statements and safe systems of work within laboratory environments Take responsibility for defined operational areas such as tooling, consumables, equipment organisation or calibration coordination Maintain accurate records for equipment status, servicing, calibration and experimental activities Support the collection, handling and basic processing of experimental data Contribute practical input to experimental planning, design reviews and operational improvement activities Coach and support junior technicians and apprentices, promoting good laboratory practice and safe working Work collaboratively with engineers and stakeholders, communicating clearly and professionallySalary£43,702 (inclusive of Specialist Allowance) + excellent benefits including outstanding pensionProgrammeDepartmentTechnology DepartmentDisciplineSite LocationType of EmploymentFull-timeReference NumberREF4129N Qualifications Essential Requirements: Relevant technical qualification in a STEM discipline (e.g. HNC/HND or equivalent experience) Proven hands on experience in laboratory, workshop, prototype or experimental test environments Strong mechanical and/or electrical skills, with the ability to work confidently from technical drawings and documentation Experience assembling, commissioning, operating or maintaining test rigs or experimental equipment Awareness of laboratory hazards (e.g. pressure, vacuum, cryogenic, high voltage systems) and safe working practices Experience contributing to risk assessments and safety documentation Ability to work independently within established procedures and manage competing tasks Clear written and verbal communication skills Experience supporting or guiding less experienced colleagues Desirable Requirements: Degree in engineering or a related discipline Experience supporting R&D or novel technology programmes Familiarity with instrumentation, control systems or data acquisition Experience contributing to laboratory improvements, equipment upgrades or facility development Knowledge of laboratory compliance frameworks (e.g. COSHH, PUWER or similar) Additional information: This role involves regular hands on work in laboratory and workshop environments Additional InformationA full list of our benefits can be found hereUKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, and inclusion and strive to ensure fair representation across our workforce. We particularly encourage applications from groups currently underrepresented in STEM, including women and individuals from diverse ethnic backgrounds, while ensuring all appointments are made on merit.UK Atomic Energy Authority is committed to being accessible. Please email if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications. Get Fusion Job AlertsNew fusion energy jobs delivered to your inbox.LocationAbingdon, United Kingdom
May 02, 2026
Full time
# Senior Testing Rigs & Labs TechnicianMechanical Engineering Job DetailsLocationAbingdon, United KingdomEmployment TypeFull-timeSalary£43kLevelIndividual ContributorPosted# Senior Testing Rigs & Labs Technician Overview of ResponsibilitiesThe salary for this role is £ 43,702 (inclusive of a Specialist Allowance) . Onsite working is expected for 5 days each week. This role can be based at any of the following sites; Culham, Oxfordshire This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. The Role We are seeking a Senior Testing Rigs & Labs Technician to provide advanced hands on technical support within our experimental laboratories.In this role, you will play a key part in building, operating and maintaining testing rigs and laboratory systems that support prototype development and experimental programmes. You will work closely with engineers, scientists and other technicians, applying practical expertise to ensure experiments are delivered safely, efficiently and to a high technical standard.You will act as a subject matter specialist in defined areas of laboratory practice, take ownership of discrete work activities, and support the development of junior technicians and apprentices. Key Responsibilities: Carry out hands on laboratory and experimental work, including fabrication, assembly, integration, commissioning, operation and decommissioning of testing rigs and equipment Support the safe and effective day to day operation of testing rigs and laboratory facilities Apply practical expertise to translate drawings, schematics and test plans into robust physical setups Identify and resolve technical issues during builds and experimental operations, escalating novel or higher risk problems as required Contribute to risk assessments, method statements and safe systems of work within laboratory environments Take responsibility for defined operational areas such as tooling, consumables, equipment organisation or calibration coordination Maintain accurate records for equipment status, servicing, calibration and experimental activities Support the collection, handling and basic processing of experimental data Contribute practical input to experimental planning, design reviews and operational improvement activities Coach and support junior technicians and apprentices, promoting good laboratory practice and safe working Work collaboratively with engineers and stakeholders, communicating clearly and professionallySalary£43,702 (inclusive of Specialist Allowance) + excellent benefits including outstanding pensionProgrammeDepartmentTechnology DepartmentDisciplineSite LocationType of EmploymentFull-timeReference NumberREF4129N Qualifications Essential Requirements: Relevant technical qualification in a STEM discipline (e.g. HNC/HND or equivalent experience) Proven hands on experience in laboratory, workshop, prototype or experimental test environments Strong mechanical and/or electrical skills, with the ability to work confidently from technical drawings and documentation Experience assembling, commissioning, operating or maintaining test rigs or experimental equipment Awareness of laboratory hazards (e.g. pressure, vacuum, cryogenic, high voltage systems) and safe working practices Experience contributing to risk assessments and safety documentation Ability to work independently within established procedures and manage competing tasks Clear written and verbal communication skills Experience supporting or guiding less experienced colleagues Desirable Requirements: Degree in engineering or a related discipline Experience supporting R&D or novel technology programmes Familiarity with instrumentation, control systems or data acquisition Experience contributing to laboratory improvements, equipment upgrades or facility development Knowledge of laboratory compliance frameworks (e.g. COSHH, PUWER or similar) Additional information: This role involves regular hands on work in laboratory and workshop environments Additional InformationA full list of our benefits can be found hereUKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, and inclusion and strive to ensure fair representation across our workforce. We particularly encourage applications from groups currently underrepresented in STEM, including women and individuals from diverse ethnic backgrounds, while ensuring all appointments are made on merit.UK Atomic Energy Authority is committed to being accessible. Please email if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications. Get Fusion Job AlertsNew fusion energy jobs delivered to your inbox.LocationAbingdon, United Kingdom
Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
May 02, 2026
Full time
Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Key Responsibilities Define and lead a comprehensive AI strategy for Janus Henderson, continuously refining it based on emerging technologies and business needs. Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model development life cycle from proof of concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends, evaluate new AI techniques and fintech innovations, and lead pilot programs to assess ROI and advocate for strategic investments in data science capabilities. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. 10+ years of experience in data science or analytics, with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands on experience developing and deploying models (e.g., predictive models, NLP, time series forecasting) and managing model risk in a regulated environment. Solid understanding of asset management business, including investment products, portfolio management, performance analytics and regulatory compliance reporting. Demonstrated leadership and communication skills, with the ability to articulate complex analytical findings to senior executives and to influence decision making. Preferred Experience Direct experience within an asset management analytics or quantitative research team. Hands on experience establishing governance processes for AI/ML and familiarity with EU AI Act, SEC guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance, including quantitative finance libraries, time series databases and visualization platforms such as Tableau or Power BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree based models, neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption and secure data enclaves. Soft Skills & Leadership Competencies Strategic vision for AI and analytics, communicating the vision to senior leaders. High ethical standards, advocating responsible AI and refusing use cases that pose undue risk. Exceptional storytelling ability, translating complex insights into plain language for non technical audiences. Collaborative influence across IT, investment, compliance and client teams. Mentorship, fostering continuous learning and recruiting top talent. Problem solving resilience, systematically addressing data quality, model performance and resource constraints. What to Expect When You Join Hybrid working with reasonable accommodations. Generous holiday policies and paid volunteer time. Professional development support, tuition reimbursement and continuing education. All inclusive diversity, equity and inclusion culture. Maternal/paternal leave benefits and family services. Access to Headspace, ClassPass and other well being benefits. Unique employee events, including health challenges and evening socials. Supervisory Responsibilities Yes Potential for Growth Mentoring programs Leadership development Regular training sessions Career development services Continuing education courses Regulatory & Ethical Expectations You will be expected to understand the regulatory obligations of the firm and abide by JHI policies applicable to your role, including adherence to the Investment Advisory Code of Ethics. Annual Bonus Opportunity Position may be eligible for an annual discretionary bonus award from the profit pool, with individual awards based on company, department, team and personal performance. Benefits Summary Comprehensive total rewards package including competitive compensation, pension/retirement plans, health and well being benefits, and flexible work arrangements. Equal Opportunity Statement Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
May 02, 2026
Full time
Key Responsibilities Define and lead a comprehensive AI strategy for Janus Henderson, continuously refining it based on emerging technologies and business needs. Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model development life cycle from proof of concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends, evaluate new AI techniques and fintech innovations, and lead pilot programs to assess ROI and advocate for strategic investments in data science capabilities. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. 10+ years of experience in data science or analytics, with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands on experience developing and deploying models (e.g., predictive models, NLP, time series forecasting) and managing model risk in a regulated environment. Solid understanding of asset management business, including investment products, portfolio management, performance analytics and regulatory compliance reporting. Demonstrated leadership and communication skills, with the ability to articulate complex analytical findings to senior executives and to influence decision making. Preferred Experience Direct experience within an asset management analytics or quantitative research team. Hands on experience establishing governance processes for AI/ML and familiarity with EU AI Act, SEC guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance, including quantitative finance libraries, time series databases and visualization platforms such as Tableau or Power BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree based models, neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption and secure data enclaves. Soft Skills & Leadership Competencies Strategic vision for AI and analytics, communicating the vision to senior leaders. High ethical standards, advocating responsible AI and refusing use cases that pose undue risk. Exceptional storytelling ability, translating complex insights into plain language for non technical audiences. Collaborative influence across IT, investment, compliance and client teams. Mentorship, fostering continuous learning and recruiting top talent. Problem solving resilience, systematically addressing data quality, model performance and resource constraints. What to Expect When You Join Hybrid working with reasonable accommodations. Generous holiday policies and paid volunteer time. Professional development support, tuition reimbursement and continuing education. All inclusive diversity, equity and inclusion culture. Maternal/paternal leave benefits and family services. Access to Headspace, ClassPass and other well being benefits. Unique employee events, including health challenges and evening socials. Supervisory Responsibilities Yes Potential for Growth Mentoring programs Leadership development Regular training sessions Career development services Continuing education courses Regulatory & Ethical Expectations You will be expected to understand the regulatory obligations of the firm and abide by JHI policies applicable to your role, including adherence to the Investment Advisory Code of Ethics. Annual Bonus Opportunity Position may be eligible for an annual discretionary bonus award from the profit pool, with individual awards based on company, department, team and personal performance. Benefits Summary Comprehensive total rewards package including competitive compensation, pension/retirement plans, health and well being benefits, and flexible work arrangements. Equal Opportunity Statement Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
May 02, 2026
Full time
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
May 02, 2026
Full time
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
OVERVIEW Merrick & Company, an employee owned company, is seeking an experienced Senior Scientist in Biosafety and Laboratory Operations to join our growing team. The person would become a crucial part of a key Merrick growth initiative in Life Sciences, Biosafety & Biosecurity, and Laboratory Operations markets. This position is open for work in London, with ability to travel to client sites across the UK and Europe. The Scientist must be capable of coordinating and supporting a multi faced series of projects related to laboratory operations, operational planning, biosafety & biosecurity, regulatory compliance, and the integration of consensus standards (e.g., ANSI, ASHRAE), manufacturers use instructions, and industry best practices. This person would support the Science & Technology team with duties and coordination as part of a team of scientists, engineers, and subject matter experts. The position will work interactively with other teams responsible for laboratory design, commissioning, and operational planning, development of laboratory IT and IS systems, and development of laboratory programs (e.g., clinical, diagnostic, and research safety, bio risk management, small to large animal laboratory issues, etc.). This position requires the ability to not only be proficient in biosafety, but also clinical and research laboratory operations with an understanding of how laboratory activities, controls, and equipment function to support the containment and isolation of laboratory hazards. This person will support development of high level technical products and deliverables, problem solving and planning for high visibility projects, and as such must possess excellent communication skills. This position requires a high level of demonstrated effectiveness in working with HM government entities, regulators, and academic, clinical, and academic administrators, internal team members and outside consulting team members. The successful candidate will be required to interface with a broad spectrum of clients for Life Sciences projects located anywhere within the UK. Moderate travel (up to 50%) may be required. WHAT YOU'LL DO Provide strategy, development, execution, and technical knowledge for project deliverables related to laboratory operations, biological risk identification, assessment, characterization, management, exposure assessment and control, general safety, occupational hygiene, health and environmental management, animal care and use and regulatory compliance. Possess strong oral and written communications and interpersonal skills to effectively interface with clients and team members to: Ensure adherence to project quality of deliverables, products, and schedule Address issues related to the interface of laboratory operations, compliance, and operational planning Prepare complex studies, reports, plans, specifications, and other products for project deliverables. Support document preparation to aid clients in obtaining and maintaining regulatory registrations and permits. Support proposal development and marketing initiatives. Support leadership to ensure that project schedules and budgets are met and communicate with leadership any issues and concerns. Exercise initiative, judgment, and knowledge commensurate with the responsibilities of the position. Adopt and apply all Merrick policies and procedures and apply them on assignments. Educate clients on pertinent regulations, consensus standards, manufacturers use instructions, and best practices concerning their laboratories, operations, safety programs, hazard control systems, biocontainment, equipment, hazardous materials storage, waste treatment and disposal processes, and all associated documents and records. REQUIRED QUALIFICATIONS Applicant must be a U.K. Citizen This position may require vaccination as mandated by client polices Applicants must be willing to travel up to 50% domestically and internationally as needed to support client projects Technical Master's degree or higher in a science related field from an accredited program. Minimum of five (5) years of experience in laboratory operations, biosafety, & biosecurity. Previous experience in high and maximum containment laboratories (CL/BSL 3 or higher) is required. Must have technical knowledge of regulatory requirements regarding biosafety, HSE, ACDP, SAPO, GMO, and IATA. Technical knowledge of consensus standards (e.g., ANSI, ASHRAE, British Standards, CIBSE, HTM, ISO) is preferred. Experience performing laboratory assessments for biological, chemical, and physical hazards for all laboratory containment levels for human, animal, and plant materials. General awareness of clinical laboratory operations and hazards associated with diagnostic, clinical microbiology, chemistry, blood bank, histopathology, and gross sectioning is preferred. General awareness of laboratory operations and hazards associated with academic laboratories (e.g., chemistry, biology, microbiology) is preferred Ability to coordinate the collection of data from laboratory assessments to determine gaps and needs to meet design requirements. Computer Skills: Microsoft Office (Word, Excel, PowerPoint, Project, etc.). Ability to work on multiple projects which includes resourcing, tracking, follow up and follow through to project completion. Well organized, detail oriented, and self motivated professional with strong verbal and written communication skills. Strong desire to work in a team environment. Flexibility/adaptability to work in a fast paced environment. DESIRED QUALIFICATIONS Credentialed biosafety professional Advanced degree in the life and/or biological sciences (M.S. or Ph.D.) Past support of a ACDP or SAPO regulated entity Environment of Care committee member or participant Clinical laboratory operations General environment of care surveillance Clinical risk assessment and management PERKS Employee Owned - all eligible U.S. employees have an Employee Stock Ownership Account. Robust Employee Referral Program. Annual performance and compensation reviews. Professional Training and Development. Employee Recognition Awards. Peer Mentor Program And Much More! ADDITIONAL INFORMATION Apply online only. No e mail, hard copy or third party resumes accepted. At Merrick, every resume is carefully reviewed by our team of experienced human recruiters-never by AI. We are committed to a fully human centered hiring process, ensuring each candidate receives thoughtful, personalized attention at every stage. Merrick & Company offers a competitive compensation and benefits package which includes health insurance, dental and vision coverage, 401(k), and paid time off (PTO). Merrick is an Equal Opportunity Employer, including disability/vets. Employment with Merrick is contingent upon completion of a pre employment background check, MVR check, and drug screen.
May 01, 2026
Full time
OVERVIEW Merrick & Company, an employee owned company, is seeking an experienced Senior Scientist in Biosafety and Laboratory Operations to join our growing team. The person would become a crucial part of a key Merrick growth initiative in Life Sciences, Biosafety & Biosecurity, and Laboratory Operations markets. This position is open for work in London, with ability to travel to client sites across the UK and Europe. The Scientist must be capable of coordinating and supporting a multi faced series of projects related to laboratory operations, operational planning, biosafety & biosecurity, regulatory compliance, and the integration of consensus standards (e.g., ANSI, ASHRAE), manufacturers use instructions, and industry best practices. This person would support the Science & Technology team with duties and coordination as part of a team of scientists, engineers, and subject matter experts. The position will work interactively with other teams responsible for laboratory design, commissioning, and operational planning, development of laboratory IT and IS systems, and development of laboratory programs (e.g., clinical, diagnostic, and research safety, bio risk management, small to large animal laboratory issues, etc.). This position requires the ability to not only be proficient in biosafety, but also clinical and research laboratory operations with an understanding of how laboratory activities, controls, and equipment function to support the containment and isolation of laboratory hazards. This person will support development of high level technical products and deliverables, problem solving and planning for high visibility projects, and as such must possess excellent communication skills. This position requires a high level of demonstrated effectiveness in working with HM government entities, regulators, and academic, clinical, and academic administrators, internal team members and outside consulting team members. The successful candidate will be required to interface with a broad spectrum of clients for Life Sciences projects located anywhere within the UK. Moderate travel (up to 50%) may be required. WHAT YOU'LL DO Provide strategy, development, execution, and technical knowledge for project deliverables related to laboratory operations, biological risk identification, assessment, characterization, management, exposure assessment and control, general safety, occupational hygiene, health and environmental management, animal care and use and regulatory compliance. Possess strong oral and written communications and interpersonal skills to effectively interface with clients and team members to: Ensure adherence to project quality of deliverables, products, and schedule Address issues related to the interface of laboratory operations, compliance, and operational planning Prepare complex studies, reports, plans, specifications, and other products for project deliverables. Support document preparation to aid clients in obtaining and maintaining regulatory registrations and permits. Support proposal development and marketing initiatives. Support leadership to ensure that project schedules and budgets are met and communicate with leadership any issues and concerns. Exercise initiative, judgment, and knowledge commensurate with the responsibilities of the position. Adopt and apply all Merrick policies and procedures and apply them on assignments. Educate clients on pertinent regulations, consensus standards, manufacturers use instructions, and best practices concerning their laboratories, operations, safety programs, hazard control systems, biocontainment, equipment, hazardous materials storage, waste treatment and disposal processes, and all associated documents and records. REQUIRED QUALIFICATIONS Applicant must be a U.K. Citizen This position may require vaccination as mandated by client polices Applicants must be willing to travel up to 50% domestically and internationally as needed to support client projects Technical Master's degree or higher in a science related field from an accredited program. Minimum of five (5) years of experience in laboratory operations, biosafety, & biosecurity. Previous experience in high and maximum containment laboratories (CL/BSL 3 or higher) is required. Must have technical knowledge of regulatory requirements regarding biosafety, HSE, ACDP, SAPO, GMO, and IATA. Technical knowledge of consensus standards (e.g., ANSI, ASHRAE, British Standards, CIBSE, HTM, ISO) is preferred. Experience performing laboratory assessments for biological, chemical, and physical hazards for all laboratory containment levels for human, animal, and plant materials. General awareness of clinical laboratory operations and hazards associated with diagnostic, clinical microbiology, chemistry, blood bank, histopathology, and gross sectioning is preferred. General awareness of laboratory operations and hazards associated with academic laboratories (e.g., chemistry, biology, microbiology) is preferred Ability to coordinate the collection of data from laboratory assessments to determine gaps and needs to meet design requirements. Computer Skills: Microsoft Office (Word, Excel, PowerPoint, Project, etc.). Ability to work on multiple projects which includes resourcing, tracking, follow up and follow through to project completion. Well organized, detail oriented, and self motivated professional with strong verbal and written communication skills. Strong desire to work in a team environment. Flexibility/adaptability to work in a fast paced environment. DESIRED QUALIFICATIONS Credentialed biosafety professional Advanced degree in the life and/or biological sciences (M.S. or Ph.D.) Past support of a ACDP or SAPO regulated entity Environment of Care committee member or participant Clinical laboratory operations General environment of care surveillance Clinical risk assessment and management PERKS Employee Owned - all eligible U.S. employees have an Employee Stock Ownership Account. Robust Employee Referral Program. Annual performance and compensation reviews. Professional Training and Development. Employee Recognition Awards. Peer Mentor Program And Much More! ADDITIONAL INFORMATION Apply online only. No e mail, hard copy or third party resumes accepted. At Merrick, every resume is carefully reviewed by our team of experienced human recruiters-never by AI. We are committed to a fully human centered hiring process, ensuring each candidate receives thoughtful, personalized attention at every stage. Merrick & Company offers a competitive compensation and benefits package which includes health insurance, dental and vision coverage, 401(k), and paid time off (PTO). Merrick is an Equal Opportunity Employer, including disability/vets. Employment with Merrick is contingent upon completion of a pre employment background check, MVR check, and drug screen.
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Project Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen specific analytical tools. This remit includes the development of a decentralised, sample to answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role We are seeking a Scientist or Senior Scientist with a strong interest in method development to join our growing Applications team, focused on advancing sequencing based diagnostics. In this role, you will contribute to the design and optimisation of novel targeted and semi targeted approaches for the rapid sequencing of clinically relevant pathogens. This laboratory based position encompasses end to end experimental workflows, including sample preparation, target enrichment and amplification, library preparation, and sequencing. You will support the development of strategies for comprehensive, high sensitivity sequencing across a large number of targets, using approaches such as targeted amplification, hybridisation, and related techniques. The role encourages creative problem solving, with opportunities to propose, explore, and evaluate new ideas. You will work collaboratively within a multidisciplinary team of microbiologists, molecular biologists, engineers, and data scientists to develop assays for integration into an automated, device based platform. Drawing on your experience, you will help define experimental strategies, design and execute studies, and contribute to advancing the application of sequencing technologies in pathogen detection and related areas. Key Responsibilities Design, develop, and optimise end to end sequencing assays (targeted and semi targeted) Execute experiments, analyse and interpret data, and contribute ideas for improvement Troubleshoot complex technical challenges across a range of sample types Maintain clear documentation to support reproducibility of experimental work Collaborate closely with colleagues across disciplines to progress shared goals Contribute to scientific discussions and decision making as projects evolve Essential Knowledge, Skills, and Experience PhD in molecular biology, microbiology, genomics, biochemistry or a related field Experience using molecular biology techniques (e.g. PCR, RT PCR, nucleic acid extraction, library preparation) Experience developing and optimising PCRs and/or related experimental workflows Ability to troubleshoot experimental challenges and adapt methods as needed Experience with DNA/RNA sequencing data Strong experimental design and data interpretation skills Good organisation, record keeping and communication skills Desirable We recognise that strong candidates may not meet every criterion below. Experience in any of the following would be beneficial: Multiplex PCR assay development, particularly for sequencing applications Enrichment or capture methods for pathogens or pathogen derived nucleic acids Work with bacteria, fungi, viruses, or other pathogens Handling clinical samples RNA based workflows (e.g. transcriptomics, viral genomics) Background in virology Exposure to metagenomics workflows Biochemistry knowledge relevant to assay development (e.g. enzyme optimisation, reaction conditions, assay development) Key Attributes Scientific and Technical Enjoys exploring new ideas and approaches to experimental challenges Curious and motivated to solve complex problems Able to balance scientific rigour with speed and pragmatism Working Style and Collaboration Takes ownership of work while valuing collaboration and shared success Proactive and supportive team member, with a willingness to contribute beyond immediate responsibilities Comfortable working in a dynamic research environment, with support from colleagues Our Benefits Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. For this role we would expect someone to be fully on site in Oxford You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
May 01, 2026
Full time
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Project Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen specific analytical tools. This remit includes the development of a decentralised, sample to answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role We are seeking a Scientist or Senior Scientist with a strong interest in method development to join our growing Applications team, focused on advancing sequencing based diagnostics. In this role, you will contribute to the design and optimisation of novel targeted and semi targeted approaches for the rapid sequencing of clinically relevant pathogens. This laboratory based position encompasses end to end experimental workflows, including sample preparation, target enrichment and amplification, library preparation, and sequencing. You will support the development of strategies for comprehensive, high sensitivity sequencing across a large number of targets, using approaches such as targeted amplification, hybridisation, and related techniques. The role encourages creative problem solving, with opportunities to propose, explore, and evaluate new ideas. You will work collaboratively within a multidisciplinary team of microbiologists, molecular biologists, engineers, and data scientists to develop assays for integration into an automated, device based platform. Drawing on your experience, you will help define experimental strategies, design and execute studies, and contribute to advancing the application of sequencing technologies in pathogen detection and related areas. Key Responsibilities Design, develop, and optimise end to end sequencing assays (targeted and semi targeted) Execute experiments, analyse and interpret data, and contribute ideas for improvement Troubleshoot complex technical challenges across a range of sample types Maintain clear documentation to support reproducibility of experimental work Collaborate closely with colleagues across disciplines to progress shared goals Contribute to scientific discussions and decision making as projects evolve Essential Knowledge, Skills, and Experience PhD in molecular biology, microbiology, genomics, biochemistry or a related field Experience using molecular biology techniques (e.g. PCR, RT PCR, nucleic acid extraction, library preparation) Experience developing and optimising PCRs and/or related experimental workflows Ability to troubleshoot experimental challenges and adapt methods as needed Experience with DNA/RNA sequencing data Strong experimental design and data interpretation skills Good organisation, record keeping and communication skills Desirable We recognise that strong candidates may not meet every criterion below. Experience in any of the following would be beneficial: Multiplex PCR assay development, particularly for sequencing applications Enrichment or capture methods for pathogens or pathogen derived nucleic acids Work with bacteria, fungi, viruses, or other pathogens Handling clinical samples RNA based workflows (e.g. transcriptomics, viral genomics) Background in virology Exposure to metagenomics workflows Biochemistry knowledge relevant to assay development (e.g. enzyme optimisation, reaction conditions, assay development) Key Attributes Scientific and Technical Enjoys exploring new ideas and approaches to experimental challenges Curious and motivated to solve complex problems Able to balance scientific rigour with speed and pragmatism Working Style and Collaboration Takes ownership of work while valuing collaboration and shared success Proactive and supportive team member, with a willingness to contribute beyond immediate responsibilities Comfortable working in a dynamic research environment, with support from colleagues Our Benefits Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. For this role we would expect someone to be fully on site in Oxford You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
May 01, 2026
Full time
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
May 01, 2026
Full time
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
