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.
Feb 27, 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.
Graduate Sales Development Representative Hoxton Square, London £30k base salary + Genuine uncapped £60k OTE Private Health/Dental Care + Generous Stock Options + Smart Pension + Cycle to Work scheme Are you a highly ambitious, competitive and money hungry young graduate wanting to launch a career in technology sales with one of the fastest growing and innovative AI companies in Europe? Our client is a cutting-edge AI start-up backed by Tier 1 investors and industry leaders from DeepMind, OpenAI, and Datadog. They're transforming how inventors, scientists, and R&D teams manage intellectual property (IP) - using AI-driven tools that accelerate patent searches, filings, and innovation analysis. This is a unique opportunity to join a high-growth company at the intersection of AI, IP, and innovation, helping the world's most forward-thinking organisations - from Fortune 500 companies to global patent leaders - protect and develop their ideas faster. What You'll Do Identify and engage potential customers across cutting-edge tech and innovation sectors Research and target IP and R&D professionals, driving creative outreach via email, linkedin, and calls Qualify new business opportunities and set up high-quality meetings for the sales team Experiment with messaging, contribute to the sales strategy, and help shape go-to-market plans Collaborate directly with a world-class founding team from Palantir, Amazon, and BCG What We're Looking For Graduate or of graduate calibre (STEM, legal or top university background ideal) Strong interest in technology, AI, innovation, or intellectual property Ambitious, curious, and confident in communicating with senior professionals Thrives in a fast-paced, results-driven environment and enjoys taking ownership What's On Offer Competitive £30k base salary plus a genuine OTE of £60k A host of corporate benefits such as Bupa Health/Dental Care, Stock Options, Smart Pension and Cycle to Work scheme Potential opportunities for international travel - including to the US - as the company continues to grow and expand globally. Fast-track career progression and hands-on experience with cutting-edge AI tech Work with global clients shaping the future of patent and innovation management Collaborative London office (Hoxton Square) with a close-knit, high-performing team If you're hungry to learn, excited by technology, and want to help drive innovation worldwide - this is your chance to start your career with one of London's most exciting AI start-ups. Apply now to join a mission that's redefining how the world protects and powers innovation.
Feb 26, 2026
Full time
Graduate Sales Development Representative Hoxton Square, London £30k base salary + Genuine uncapped £60k OTE Private Health/Dental Care + Generous Stock Options + Smart Pension + Cycle to Work scheme Are you a highly ambitious, competitive and money hungry young graduate wanting to launch a career in technology sales with one of the fastest growing and innovative AI companies in Europe? Our client is a cutting-edge AI start-up backed by Tier 1 investors and industry leaders from DeepMind, OpenAI, and Datadog. They're transforming how inventors, scientists, and R&D teams manage intellectual property (IP) - using AI-driven tools that accelerate patent searches, filings, and innovation analysis. This is a unique opportunity to join a high-growth company at the intersection of AI, IP, and innovation, helping the world's most forward-thinking organisations - from Fortune 500 companies to global patent leaders - protect and develop their ideas faster. What You'll Do Identify and engage potential customers across cutting-edge tech and innovation sectors Research and target IP and R&D professionals, driving creative outreach via email, linkedin, and calls Qualify new business opportunities and set up high-quality meetings for the sales team Experiment with messaging, contribute to the sales strategy, and help shape go-to-market plans Collaborate directly with a world-class founding team from Palantir, Amazon, and BCG What We're Looking For Graduate or of graduate calibre (STEM, legal or top university background ideal) Strong interest in technology, AI, innovation, or intellectual property Ambitious, curious, and confident in communicating with senior professionals Thrives in a fast-paced, results-driven environment and enjoys taking ownership What's On Offer Competitive £30k base salary plus a genuine OTE of £60k A host of corporate benefits such as Bupa Health/Dental Care, Stock Options, Smart Pension and Cycle to Work scheme Potential opportunities for international travel - including to the US - as the company continues to grow and expand globally. Fast-track career progression and hands-on experience with cutting-edge AI tech Work with global clients shaping the future of patent and innovation management Collaborative London office (Hoxton Square) with a close-knit, high-performing team If you're hungry to learn, excited by technology, and want to help drive innovation worldwide - this is your chance to start your career with one of London's most exciting AI start-ups. Apply now to join a mission that's redefining how the world protects and powers innovation.
We are recruiting for a Group Media Manager Summary This role has a crucial part to play in Nesta s success, using the media as a key channel in building Nesta s influence, profile and impact. Working as part of an expert communications team, you will plan and deliver media activity targeting policymakers and the wider policy and government communities, as well as specific practitioner groups or segments of the public. Your focus will be largely but not exclusively on our three missions; health, decarbonising heat, and early years. You will also work widely and flexibly on a range of broader topics, collaborating with experts across all of Nesta, as well as working with researchers and behavioural scientists at BIT. You will take a flexible approach to media audiences, focusing on traditional and legacy media as key sources of influence but also leaning heavily into newer outlets and platforms, ranging from policy podcasts to media startups and key Substack influencers, as essential routes to the audiences we need to reach and engage. This is a hands-on role that combines the tactical delivery of media activity with the strategic planning that is required to build Nesta s media profile, protect our reputation and position us as an organisation that is a world leader in driving innovation for social good. What you ll be doing: Lead on the development and delivery of UK media plans that support the strategic objectives of Nesta and BIT Work collaboratively to shape stories that involve a cross-functional range of colleagues from disciplines including data science, design, behaviour science and policy and research Actively seek out proactive opportunities to build our profile among journalists in our three mission areas (health, decarbonising homes, early years), as well as more generally Work with colleagues at BIT to grow and build the reputation of the organisation as a world-class research and innovation consultancy that uses a deep understanding of human behaviour to improve people's lives. Accelerate our journey from a primarily legacy media-focused media team to a hybrid model where newer media is just as important, building relationships with these outlets, writers and broadcasters and securing high-impact coverage Monitor relevant breaking news stories and political and policy developments, identifying and quickly capitalising on relevant opportunities for Nesta s missions and brand Protect Nesta s reputation, develop and implement crisis management media strategies and rebuttal as required Identify, develop and maintain relationships with key media and internal and external stakeholders, including taking the lead on managing and coordinating internal and external relationships to progress media stories, statements and positions, with often competing priorities and time pressure Develop and maintain Nesta s cohort of case studies across its consumer-facing projects and services, building relationships with these contacts as advocates of Nesta s mission goals Ensure the smooth day-to-day running of the Nesta press office through developing shared resources and reporting key success metrics Support colleagues in the Nesta communications team by guiding and supporting their media outreach, and by acting as a source of expert advice on media for the rest of the organisation Covering media enquiries out of hours as and when required Deputising for the senior media manager as and when required What we re looking for: Professional media relations experience (essential): You will have proven experience of working in a busy press office (ideally a policy-focused media team), with at least 80% of your time spent on media. A creative thinker and experienced writer and editor, you will have experience working on a variety of stories and you think cross-channel. You have a solid understanding of how the media environment works, how it's changing and what that demands from organisations like Nesta and BIT. Knowledge and understanding of the UK policy context (essential): You will have worked at the interface of communications and policy, possibly in government, a thinktank, NGO or in the private sector. You will appreciate the pace, nuance and strategic thinking required to operate in a media team that is deeply connected across government, industry and practitioner groups Excellent writing skills (essential): You will be a superb writer, capable of adapting your style across different channels to reach audiences in the most effective way. The ability to work quickly and flexibly in the role is important. You will be as comfortable advising on a longer-term strategic project as you will be turning around flawless copy on a breaking news story. Project delivery skills (essential): You will have proven experience in delivering high-impact communications campaigns from conception to delivery and evaluation. You can proactively plan and deliver work, identify and act on risks and find solutions. Strong interpersonal and networking skills (essential): You will have experience in applying these effectively to collaborate well with colleagues, build stakeholder relationships and develop partnerships. You bring with you a bank of trusted contacts and you are always looking to expand your range of trusted contacts across media. As with all members of Nesta Group's communications team, the post holder will be at their best working in a collaborative, fast-paced environment with multiple projects and priorities. They will have a positive, can-do attitude and a flexible approach, able to adapt to changing circumstances with good humour and an appetite for taking on new tasks and challenges. They will also have strong communication skills, the ability to write and edit content for different audiences and a proven ability in (or enthusiasm to learn) web publishing and the creation of simple communications products like social cards or videos. What we offer Salary: £49,200 - £65,800 plus an array of benefits including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more. Offers are usually made at the bottom of the band. Location: Hybrid, with two days per week in the London office. We ask that our team attend the office on Tuesday and one other day of their choice. Term: Full-time, permanent Hours: 37.5 hours per week. Occasional out-of-hours work (evenings, weekends, and public holidays) will be required to fulfil the role. Flexibility: This is a full-time role, but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Reports to: Senior Media Manager Making an application To apply for this role, please submit your CV and cover letter before 8:00am on the 9th of March 2026. Interviews will take place w/c 23rd of March 2026. About Nesta We are Nesta, a research and innovation foundation, using a powerhouse of applied methods to design, test and scale solutions for the biggest challenges of our time. Driven by a vision to improve the lives of millions of people, our focus up to 2030 is on three missions: breaking the link between family background and life chances, halving obesity and cutting household carbon emissions. We work with partners across the public, private and third sectors to develop high-potential solutions and test them as they evolve, drawing on deep expertise in qualitative and quantitative research, data science, behavioural science and design. Once confident in the effectiveness of a solution, we are relentless in the pursuit of scale. We create and make the case for ambitious national policy proposals, develop consumer-facing products and services, spin out and support commercial ventures and harness the power of the arts to shape national narratives. We extend our impact through two specialised units that help others to solve complex problems and achieve their missions. BIT applies a deep understanding of human behaviour to help clients achieve their goals. Challenge Works designs and runs challenge prizes to spark innovation in science, technology and society. Together, we are building a powerful ecosystem for innovation that delivers proven solutions to create lasting, positive change. At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you d like to explore.
Feb 26, 2026
Full time
We are recruiting for a Group Media Manager Summary This role has a crucial part to play in Nesta s success, using the media as a key channel in building Nesta s influence, profile and impact. Working as part of an expert communications team, you will plan and deliver media activity targeting policymakers and the wider policy and government communities, as well as specific practitioner groups or segments of the public. Your focus will be largely but not exclusively on our three missions; health, decarbonising heat, and early years. You will also work widely and flexibly on a range of broader topics, collaborating with experts across all of Nesta, as well as working with researchers and behavioural scientists at BIT. You will take a flexible approach to media audiences, focusing on traditional and legacy media as key sources of influence but also leaning heavily into newer outlets and platforms, ranging from policy podcasts to media startups and key Substack influencers, as essential routes to the audiences we need to reach and engage. This is a hands-on role that combines the tactical delivery of media activity with the strategic planning that is required to build Nesta s media profile, protect our reputation and position us as an organisation that is a world leader in driving innovation for social good. What you ll be doing: Lead on the development and delivery of UK media plans that support the strategic objectives of Nesta and BIT Work collaboratively to shape stories that involve a cross-functional range of colleagues from disciplines including data science, design, behaviour science and policy and research Actively seek out proactive opportunities to build our profile among journalists in our three mission areas (health, decarbonising homes, early years), as well as more generally Work with colleagues at BIT to grow and build the reputation of the organisation as a world-class research and innovation consultancy that uses a deep understanding of human behaviour to improve people's lives. Accelerate our journey from a primarily legacy media-focused media team to a hybrid model where newer media is just as important, building relationships with these outlets, writers and broadcasters and securing high-impact coverage Monitor relevant breaking news stories and political and policy developments, identifying and quickly capitalising on relevant opportunities for Nesta s missions and brand Protect Nesta s reputation, develop and implement crisis management media strategies and rebuttal as required Identify, develop and maintain relationships with key media and internal and external stakeholders, including taking the lead on managing and coordinating internal and external relationships to progress media stories, statements and positions, with often competing priorities and time pressure Develop and maintain Nesta s cohort of case studies across its consumer-facing projects and services, building relationships with these contacts as advocates of Nesta s mission goals Ensure the smooth day-to-day running of the Nesta press office through developing shared resources and reporting key success metrics Support colleagues in the Nesta communications team by guiding and supporting their media outreach, and by acting as a source of expert advice on media for the rest of the organisation Covering media enquiries out of hours as and when required Deputising for the senior media manager as and when required What we re looking for: Professional media relations experience (essential): You will have proven experience of working in a busy press office (ideally a policy-focused media team), with at least 80% of your time spent on media. A creative thinker and experienced writer and editor, you will have experience working on a variety of stories and you think cross-channel. You have a solid understanding of how the media environment works, how it's changing and what that demands from organisations like Nesta and BIT. Knowledge and understanding of the UK policy context (essential): You will have worked at the interface of communications and policy, possibly in government, a thinktank, NGO or in the private sector. You will appreciate the pace, nuance and strategic thinking required to operate in a media team that is deeply connected across government, industry and practitioner groups Excellent writing skills (essential): You will be a superb writer, capable of adapting your style across different channels to reach audiences in the most effective way. The ability to work quickly and flexibly in the role is important. You will be as comfortable advising on a longer-term strategic project as you will be turning around flawless copy on a breaking news story. Project delivery skills (essential): You will have proven experience in delivering high-impact communications campaigns from conception to delivery and evaluation. You can proactively plan and deliver work, identify and act on risks and find solutions. Strong interpersonal and networking skills (essential): You will have experience in applying these effectively to collaborate well with colleagues, build stakeholder relationships and develop partnerships. You bring with you a bank of trusted contacts and you are always looking to expand your range of trusted contacts across media. As with all members of Nesta Group's communications team, the post holder will be at their best working in a collaborative, fast-paced environment with multiple projects and priorities. They will have a positive, can-do attitude and a flexible approach, able to adapt to changing circumstances with good humour and an appetite for taking on new tasks and challenges. They will also have strong communication skills, the ability to write and edit content for different audiences and a proven ability in (or enthusiasm to learn) web publishing and the creation of simple communications products like social cards or videos. What we offer Salary: £49,200 - £65,800 plus an array of benefits including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more. Offers are usually made at the bottom of the band. Location: Hybrid, with two days per week in the London office. We ask that our team attend the office on Tuesday and one other day of their choice. Term: Full-time, permanent Hours: 37.5 hours per week. Occasional out-of-hours work (evenings, weekends, and public holidays) will be required to fulfil the role. Flexibility: This is a full-time role, but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Reports to: Senior Media Manager Making an application To apply for this role, please submit your CV and cover letter before 8:00am on the 9th of March 2026. Interviews will take place w/c 23rd of March 2026. About Nesta We are Nesta, a research and innovation foundation, using a powerhouse of applied methods to design, test and scale solutions for the biggest challenges of our time. Driven by a vision to improve the lives of millions of people, our focus up to 2030 is on three missions: breaking the link between family background and life chances, halving obesity and cutting household carbon emissions. We work with partners across the public, private and third sectors to develop high-potential solutions and test them as they evolve, drawing on deep expertise in qualitative and quantitative research, data science, behavioural science and design. Once confident in the effectiveness of a solution, we are relentless in the pursuit of scale. We create and make the case for ambitious national policy proposals, develop consumer-facing products and services, spin out and support commercial ventures and harness the power of the arts to shape national narratives. We extend our impact through two specialised units that help others to solve complex problems and achieve their missions. BIT applies a deep understanding of human behaviour to help clients achieve their goals. Challenge Works designs and runs challenge prizes to spark innovation in science, technology and society. Together, we are building a powerful ecosystem for innovation that delivers proven solutions to create lasting, positive change. At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you d like to explore.
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Feb 26, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Based on nascent innovations, this start-up is looking to disrupt the pharmaceutical markets with their technologies. They are looking to hire a Senior Life Scientist / Consultant to take a lead role within the company, from experimental design to business strategy and commercial developments. The position will also involve mentoring junior members of the lab team. As a Senior Life Scientist, you'll have had recent experience working within a research lab environment which included experimental peptide / protein-based assay design and interpretation of data. However, more lately, your key responsibilities have been more commercially focused, bringing your consultancy skills to the front. This will have included influencing company strategy, identifying target markets, engaging with key external stakeholders, and creating IP. Requirements: Technical skills and experience: Strong background in protein chemistry (ideally to PhD level) and experience working in a commercial research lab on peptide / protein-based projects related to therapeutic product development. Must be able to design and optimise lab-based assays and interpret relevant data. Consultancy / commercial experience: Held a senior level role which includes responsibilities that influenced company strategy and business development plans. This should include engaging with key opinion influencers and developing company IP. Team leadership experience: Mentoring team members within a lab environment, leading on the design of new experimental assays, and collaborating with other groups. The role requires great communication skills, as the position will speak directly with highly technically minded scientists, as well as senior commercial managers. On offer is the opportunity to join this start up early in their journey, work on interesting projects, and be influential on their upwards trajectory. Please note: even if you don't have exactly the background indicated, do contact us now if you mostly have the requirements. And of course, we always get your permission before submitting your CV to a company. Recommend for £250 - see for details.
Feb 26, 2026
Full time
Based on nascent innovations, this start-up is looking to disrupt the pharmaceutical markets with their technologies. They are looking to hire a Senior Life Scientist / Consultant to take a lead role within the company, from experimental design to business strategy and commercial developments. The position will also involve mentoring junior members of the lab team. As a Senior Life Scientist, you'll have had recent experience working within a research lab environment which included experimental peptide / protein-based assay design and interpretation of data. However, more lately, your key responsibilities have been more commercially focused, bringing your consultancy skills to the front. This will have included influencing company strategy, identifying target markets, engaging with key external stakeholders, and creating IP. Requirements: Technical skills and experience: Strong background in protein chemistry (ideally to PhD level) and experience working in a commercial research lab on peptide / protein-based projects related to therapeutic product development. Must be able to design and optimise lab-based assays and interpret relevant data. Consultancy / commercial experience: Held a senior level role which includes responsibilities that influenced company strategy and business development plans. This should include engaging with key opinion influencers and developing company IP. Team leadership experience: Mentoring team members within a lab environment, leading on the design of new experimental assays, and collaborating with other groups. The role requires great communication skills, as the position will speak directly with highly technically minded scientists, as well as senior commercial managers. On offer is the opportunity to join this start up early in their journey, work on interesting projects, and be influential on their upwards trajectory. Please note: even if you don't have exactly the background indicated, do contact us now if you mostly have the requirements. And of course, we always get your permission before submitting your CV to a company. Recommend for £250 - see for details.
Job Title: Managing Consultant - Customer Data Analytics/Data Science Salary: £77,000-£88,000 + ~£8,000 bonus Location: Hybrid (UK-based) Type: Permanent About the Role We're partnering with a global consultancy at the intersection of data, AI, and design to appoint a Managing Consultant - Customer Data Analytics/Data Science. This role is ideal for a data leader who combines strong analytics expertise with the ability to inspire teams and shape client success. You'll lead customer analytics and Generative AI projects, develop people, and contribute to business growth while keeping hands-on involvement with advanced data solutions. What You'll Do Lead the delivery of customer data and AI-driven analytics projects, ensuring quality and impact. Manage and mentor junior consultants and data scientists, supporting their professional development. Apply LLM and Generative AI techniques to real-world marketing and customer use cases. Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data-driven solutions using Python and ML methods (predictive, classification, forecasting, deep learning). What You'll Bring 6+ years' experience in data science, analytics, or consulting. Proven success operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI-powered solutions. Proficiency in Python, machine learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background - leadership, commercial awareness, and consulting mindset are key. Why This Role Work on cutting-edge customer and AI projects for global brands. Step up in leadership while maintaining technical and strategic variety. No hard sales target, but exposure to soft business development and career growth toward senior management. If you're ready to lead teams, shape projects, and bring AI-driven customer insights to life, we'd love to hear from you. *Rates depend on experience and client requirements
Feb 26, 2026
Full time
Job Title: Managing Consultant - Customer Data Analytics/Data Science Salary: £77,000-£88,000 + ~£8,000 bonus Location: Hybrid (UK-based) Type: Permanent About the Role We're partnering with a global consultancy at the intersection of data, AI, and design to appoint a Managing Consultant - Customer Data Analytics/Data Science. This role is ideal for a data leader who combines strong analytics expertise with the ability to inspire teams and shape client success. You'll lead customer analytics and Generative AI projects, develop people, and contribute to business growth while keeping hands-on involvement with advanced data solutions. What You'll Do Lead the delivery of customer data and AI-driven analytics projects, ensuring quality and impact. Manage and mentor junior consultants and data scientists, supporting their professional development. Apply LLM and Generative AI techniques to real-world marketing and customer use cases. Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data-driven solutions using Python and ML methods (predictive, classification, forecasting, deep learning). What You'll Bring 6+ years' experience in data science, analytics, or consulting. Proven success operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI-powered solutions. Proficiency in Python, machine learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background - leadership, commercial awareness, and consulting mindset are key. Why This Role Work on cutting-edge customer and AI projects for global brands. Step up in leadership while maintaining technical and strategic variety. No hard sales target, but exposure to soft business development and career growth toward senior management. If you're ready to lead teams, shape projects, and bring AI-driven customer insights to life, we'd love to hear from you. *Rates depend on experience and client requirements
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Feb 26, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Feb 25, 2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
Feb 25, 2026
Full time
The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
For additional information, please review .The Data scientist working as part of Markets FO CDE Triage team, to help Markets manage changes to the FO CDE in line with regulatory interpretations and Model Governance. Responsible for supporting the review, prioritization and approval of all Front Office (FO) Critical Data Element (CDE) changes, including all senior reporting and escalations Job Background/context: Within Counterparty Trading & Risk (CTR), the Markets Capital Advancement team is the central team that drives and oversees execution and management of capital initiatives. The XVA trading desk (part of Counterparty Trading and Risk) is responsible for the pricing and subsequent risk management of derivatives trades including the use of credit, funding and capital. As part of both teams' mandate to facilitate business and manage return on capital, the desks need Front Office staff focused specifically on capital for Markets. This role, within COO, will support the broader CTR team in ensuring the FO CDEs are in compliance with the enterprise-wide data policies Key Responsibilities: Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan Provide data analysis to FO CDE Triage team and other stakeholders Drive improvements on underlying dataset: partner with MQA & IT to integrate into dataset Front Office/shadow version of RWA and other capital metrics across asset classes, and underlying sensitivities & attribution analysis Review and compare FO version with official capital calculations, help with strategic system state Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams. Mines and analyzes data from various banking platforms to drive optimization and improve data quality Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan Knowledge/Experience: Experience working with data analytics on large datasets, ideally within financial Markets Proven ability analysing business needs, building visualisations, and tracking down complex data quality and integration issues Skills: Very strong SQL and Tableau skills required. Python or other programming a plus Strong analytical and mathematical skills Attention to detail Demonstrable team skills both within and across teams Ability to pick up new concepts and think outside the box Preferably comfortable with derivatives modelling concepts Qualifications: Undergraduate numerate degree or higher Job Family Group: Technology Job Family: Data Science Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
Feb 25, 2026
Full time
For additional information, please review .The Data scientist working as part of Markets FO CDE Triage team, to help Markets manage changes to the FO CDE in line with regulatory interpretations and Model Governance. Responsible for supporting the review, prioritization and approval of all Front Office (FO) Critical Data Element (CDE) changes, including all senior reporting and escalations Job Background/context: Within Counterparty Trading & Risk (CTR), the Markets Capital Advancement team is the central team that drives and oversees execution and management of capital initiatives. The XVA trading desk (part of Counterparty Trading and Risk) is responsible for the pricing and subsequent risk management of derivatives trades including the use of credit, funding and capital. As part of both teams' mandate to facilitate business and manage return on capital, the desks need Front Office staff focused specifically on capital for Markets. This role, within COO, will support the broader CTR team in ensuring the FO CDEs are in compliance with the enterprise-wide data policies Key Responsibilities: Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan Provide data analysis to FO CDE Triage team and other stakeholders Drive improvements on underlying dataset: partner with MQA & IT to integrate into dataset Front Office/shadow version of RWA and other capital metrics across asset classes, and underlying sensitivities & attribution analysis Review and compare FO version with official capital calculations, help with strategic system state Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams. Mines and analyzes data from various banking platforms to drive optimization and improve data quality Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan Knowledge/Experience: Experience working with data analytics on large datasets, ideally within financial Markets Proven ability analysing business needs, building visualisations, and tracking down complex data quality and integration issues Skills: Very strong SQL and Tableau skills required. Python or other programming a plus Strong analytical and mathematical skills Attention to detail Demonstrable team skills both within and across teams Ability to pick up new concepts and think outside the box Preferably comfortable with derivatives modelling concepts Qualifications: Undergraduate numerate degree or higher Job Family Group: Technology Job Family: Data Science Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £70,000 and £80,000 plus bonus and benefits. This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency. The Company They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants. Shape project plans, define requirements, and communicate insights to senior stakeholders. Deliver end-to-end modelling, from scoping and feature design to deployment and iteration. Act as the most senior data science practitioner, setting foundations for how the function will scale. Your Skills and Experience Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions. Proficiency in Python and experience working with cloud environments, ideally Azure. Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes. Comfortable collaborating with stakeholders across commercial, operations, and technology. Broad skill set across supervised learning, workflow automation, and hands-on engineering. STEM academic background with strong analytical foundations. What They Offer Competitive salary plus bonus and full benefits. Hybrid working with a minimum of one office day per week. The chance to build a new data science capability in a growing team. High visibility with opportunities to shape strategy, tooling, and delivery standards. Future headcount growth, including adjacent roles such as ML Ops. How to Apply If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.
Feb 25, 2026
Full time
Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £70,000 and £80,000 plus bonus and benefits. This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency. The Company They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants. Shape project plans, define requirements, and communicate insights to senior stakeholders. Deliver end-to-end modelling, from scoping and feature design to deployment and iteration. Act as the most senior data science practitioner, setting foundations for how the function will scale. Your Skills and Experience Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions. Proficiency in Python and experience working with cloud environments, ideally Azure. Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes. Comfortable collaborating with stakeholders across commercial, operations, and technology. Broad skill set across supervised learning, workflow automation, and hands-on engineering. STEM academic background with strong analytical foundations. What They Offer Competitive salary plus bonus and full benefits. Hybrid working with a minimum of one office day per week. The chance to build a new data science capability in a growing team. High visibility with opportunities to shape strategy, tooling, and delivery standards. Future headcount growth, including adjacent roles such as ML Ops. How to Apply If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Feb 25, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
BioAI Senior Principal Scientist Hybrid Working - 3 days on site, London 6 month rolling project, Inside IR35 emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients - we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. As a Senior Principal Scientist (Computational Biology/AI) , you will play a central role in advancing drug target discovery for cardiometabolic diseases (CMD) through rigorous computational modelling, large-scale data engineering, and applied machine learning. This role is rooted in hands-on computational science, where you will architect and implement scalable analytical pipelines, develop AI models, and translate complex biological datasets into predictive, decision-enabling outputs. Key Responsibilities Lead the design and implementation of AI-driven analytical frameworks for drug target discovery. Develop, train, validate, and optimise machine learning and deep learning models on multimodal biological datasets. Apply advanced statistical learning, graph-based modelling, and network inference techniques to uncover causal biological mechanisms. Establish reproducible computational workflows and robust model evaluation pipelines. Perform large-scale data processing and feature engineering on ultra-high throughput in-vitro screening datasets. Analyse high-dimensional data (cell painting, transcriptomics, proteomics, metabolomics) using systems biology and computational modelling approaches. Build scalable data pipelines for structured and unstructured biological datasets. Apply dimensionality reduction, clustering, representation learning, and integrative multi-omics modelling techniques. Conduct rigorous benchmarking, validation, and sensitivity analyses to ensure model robustness and biological interpretability. Design scalable architectures for multimodal data integration across distributed compute environments. Optimise code for performance in high-performance computing (HPC) and cloud environments. Contribute to internal AI evaluation frameworks, including metrics for biological plausibility, predictive accuracy, and translational relevance. Implement version-controlled, containerised, and production-grade computational solutions. Translate complex computational findings into actionable biological hypotheses and drug target candidates. Partner with experimental scientists to iteratively refine computational models using wet-lab feedback. Influence systems biology strategy by defining computational standards, modelling approaches, and AI governance practices. Communicate complex technical insights clearly to scientific, technical, and executive stakeholders. Required Qualifications & Experience Master's degree or PhD in Computer Science, Computational Biology, Bioinformatics, Machine Learning, Systems Biology, or a related quantitative discipline. Strong hands-on experience in: Python (NumPy, pandas, PyTorch, TensorFlow, scikit-learn) and/or R Machine learning and deep learning for structured and high-dimensional data Statistical modelling and causal inference Network biology and graph-based learning approaches Experience building scalable data processing pipelines in cloud or HPC environments. Proven ability to independently design, implement, and validate computational models in production or research settings. Experience integrating multimodal datasets and handling noisy, incomplete biological data. Significant experience in pharma, biotech, or tech-bio environments. Demonstrated impact in computational drug target identification or translational AI initiatives. Experience working in interdisciplinary teams bridging computational and experimental domains. Experience applying AI to cardiometabolic disease datasets. Background in cellular or molecular biology sufficient to contextualise computational outputs biologically. Experience developing interpretable AI frameworks for biomedical decision-making. emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin
Feb 25, 2026
Contractor
BioAI Senior Principal Scientist Hybrid Working - 3 days on site, London 6 month rolling project, Inside IR35 emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients - we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. As a Senior Principal Scientist (Computational Biology/AI) , you will play a central role in advancing drug target discovery for cardiometabolic diseases (CMD) through rigorous computational modelling, large-scale data engineering, and applied machine learning. This role is rooted in hands-on computational science, where you will architect and implement scalable analytical pipelines, develop AI models, and translate complex biological datasets into predictive, decision-enabling outputs. Key Responsibilities Lead the design and implementation of AI-driven analytical frameworks for drug target discovery. Develop, train, validate, and optimise machine learning and deep learning models on multimodal biological datasets. Apply advanced statistical learning, graph-based modelling, and network inference techniques to uncover causal biological mechanisms. Establish reproducible computational workflows and robust model evaluation pipelines. Perform large-scale data processing and feature engineering on ultra-high throughput in-vitro screening datasets. Analyse high-dimensional data (cell painting, transcriptomics, proteomics, metabolomics) using systems biology and computational modelling approaches. Build scalable data pipelines for structured and unstructured biological datasets. Apply dimensionality reduction, clustering, representation learning, and integrative multi-omics modelling techniques. Conduct rigorous benchmarking, validation, and sensitivity analyses to ensure model robustness and biological interpretability. Design scalable architectures for multimodal data integration across distributed compute environments. Optimise code for performance in high-performance computing (HPC) and cloud environments. Contribute to internal AI evaluation frameworks, including metrics for biological plausibility, predictive accuracy, and translational relevance. Implement version-controlled, containerised, and production-grade computational solutions. Translate complex computational findings into actionable biological hypotheses and drug target candidates. Partner with experimental scientists to iteratively refine computational models using wet-lab feedback. Influence systems biology strategy by defining computational standards, modelling approaches, and AI governance practices. Communicate complex technical insights clearly to scientific, technical, and executive stakeholders. Required Qualifications & Experience Master's degree or PhD in Computer Science, Computational Biology, Bioinformatics, Machine Learning, Systems Biology, or a related quantitative discipline. Strong hands-on experience in: Python (NumPy, pandas, PyTorch, TensorFlow, scikit-learn) and/or R Machine learning and deep learning for structured and high-dimensional data Statistical modelling and causal inference Network biology and graph-based learning approaches Experience building scalable data processing pipelines in cloud or HPC environments. Proven ability to independently design, implement, and validate computational models in production or research settings. Experience integrating multimodal datasets and handling noisy, incomplete biological data. Significant experience in pharma, biotech, or tech-bio environments. Demonstrated impact in computational drug target identification or translational AI initiatives. Experience working in interdisciplinary teams bridging computational and experimental domains. Experience applying AI to cardiometabolic disease datasets. Background in cellular or molecular biology sufficient to contextualise computational outputs biologically. Experience developing interpretable AI frameworks for biomedical decision-making. emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Feb 25, 2026
Full time
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
The Role At Notpla, we're at the forefront of sustainable innovation, creating natural alternatives to single-use plastic packaging that are carefully engineered to help build a healthier planet. Founded on the belief that nature knows best, we're an innovative, action-oriented scale-up developing and manufacturing uncompromisingly natural packaging solutions from seaweed and plants. As a Senior Material Scientist, you'll spearhead scientific and technological breakthroughs, playing a pivotal role in developing natural polymer technologies to replace plastic. This role will suit someone with a background in Materials Science, Polymer Chemistry, or Chemical Engineering, with hands-on experience working with natural materials such as biopolyesters, rubbers, resins, seaweed, and/or processes such as PET recycling or polymer extrusion. This is an exciting time to join Notpla - we're on the brink of a record-breaking year for revenue and on track for major growth in the next 18-24 months. To support this, we have just secured a £20 million Series A+ fundraise, enabling us to scale our growth and environmental impact faster than ever. Beyond offering meaningful roles and a vibrant working environment, Notpla provides competitive compensation, including EMI Share Options, a zero-carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office-first hybrid working policy lets you work in the way that maximises your productivity while maintaining a dynamic and collaborative atmosphere. We're a social business with regular clubs and events, and we're proud of how our diverse, mission-driven community works together to make plastic disappear. Led by strong values, all Notpla employees are encouraged to take ownership of their domain, enjoying a high degree of autonomy. Our aim is to build an inspiring culture reflected in our working policies, environment, and people. As a Senior Material Scientist, you'll balance fast-paced feasibility initiatives with in-depth polymer and process development. Your work will be highly hands-on and collaborative, engaging with cross-disciplinary teams and international partners. You'll tackle complex materials challenges, coordinate trials, scout novel natural polymer opportunities, and engage with a network of scientific experts and labs to bring innovation to life. Within the Innovation Team, you'll thrive in a setting that embraces ambiguity and agile ways of working. You'll collaborate closely with colleagues from diverse backgrounds - such as design, engineering, and business - to develop new materials and products. A true innovator, you'll explore the unknown, constantly learning and pushing the boundaries of science rooted in nature. Key Responsibilities Play a central scientific role in Notpla's in a large funded consortium project, executing and coordinating polymer chemistry activities across the consortium. Pioneer new approaches to polymer synthesis from abundant natural materials. Conduct feasibility studies and fast-paced discovery projects to address material science and packaging challenges. Collaborate closely with cross-disciplinary teams - including designers, engineers, seaweed specialists, and business development managers - to solve complex problems. Identify, source, and test natural materials; develop formulations that meet performance, sustainability, and cost targets. Design and execute experiments, analyse data, and present findings to drive decision-making and project progress. Stay up to date with the latest scientific and industry advancements, integrating new knowledge into projects. Contribute to the development of intellectual property, including patents and trade secrets. Provide technical input for grant and client proposals to secure funding. Lead in-depth development projects to advance the understanding of seaweed and biomaterials for packaging applications. Characterise polymer structures, reactions, and material behaviour, and conduct performance, shelf-life, and compatibility studies. Represent Notpla to external partners, academic institutions, and commercial labs; coordinate third-party testing as needed. Develop technical strategies and approaches to solve key challenges. Mentor colleagues (scientists, designers, engineers) to help develop their technical skills and support their project work. Plan and manage your own workload effectively. Salary £38,000 - £45,000 + EMI Share Options
Feb 25, 2026
Full time
The Role At Notpla, we're at the forefront of sustainable innovation, creating natural alternatives to single-use plastic packaging that are carefully engineered to help build a healthier planet. Founded on the belief that nature knows best, we're an innovative, action-oriented scale-up developing and manufacturing uncompromisingly natural packaging solutions from seaweed and plants. As a Senior Material Scientist, you'll spearhead scientific and technological breakthroughs, playing a pivotal role in developing natural polymer technologies to replace plastic. This role will suit someone with a background in Materials Science, Polymer Chemistry, or Chemical Engineering, with hands-on experience working with natural materials such as biopolyesters, rubbers, resins, seaweed, and/or processes such as PET recycling or polymer extrusion. This is an exciting time to join Notpla - we're on the brink of a record-breaking year for revenue and on track for major growth in the next 18-24 months. To support this, we have just secured a £20 million Series A+ fundraise, enabling us to scale our growth and environmental impact faster than ever. Beyond offering meaningful roles and a vibrant working environment, Notpla provides competitive compensation, including EMI Share Options, a zero-carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office-first hybrid working policy lets you work in the way that maximises your productivity while maintaining a dynamic and collaborative atmosphere. We're a social business with regular clubs and events, and we're proud of how our diverse, mission-driven community works together to make plastic disappear. Led by strong values, all Notpla employees are encouraged to take ownership of their domain, enjoying a high degree of autonomy. Our aim is to build an inspiring culture reflected in our working policies, environment, and people. As a Senior Material Scientist, you'll balance fast-paced feasibility initiatives with in-depth polymer and process development. Your work will be highly hands-on and collaborative, engaging with cross-disciplinary teams and international partners. You'll tackle complex materials challenges, coordinate trials, scout novel natural polymer opportunities, and engage with a network of scientific experts and labs to bring innovation to life. Within the Innovation Team, you'll thrive in a setting that embraces ambiguity and agile ways of working. You'll collaborate closely with colleagues from diverse backgrounds - such as design, engineering, and business - to develop new materials and products. A true innovator, you'll explore the unknown, constantly learning and pushing the boundaries of science rooted in nature. Key Responsibilities Play a central scientific role in Notpla's in a large funded consortium project, executing and coordinating polymer chemistry activities across the consortium. Pioneer new approaches to polymer synthesis from abundant natural materials. Conduct feasibility studies and fast-paced discovery projects to address material science and packaging challenges. Collaborate closely with cross-disciplinary teams - including designers, engineers, seaweed specialists, and business development managers - to solve complex problems. Identify, source, and test natural materials; develop formulations that meet performance, sustainability, and cost targets. Design and execute experiments, analyse data, and present findings to drive decision-making and project progress. Stay up to date with the latest scientific and industry advancements, integrating new knowledge into projects. Contribute to the development of intellectual property, including patents and trade secrets. Provide technical input for grant and client proposals to secure funding. Lead in-depth development projects to advance the understanding of seaweed and biomaterials for packaging applications. Characterise polymer structures, reactions, and material behaviour, and conduct performance, shelf-life, and compatibility studies. Represent Notpla to external partners, academic institutions, and commercial labs; coordinate third-party testing as needed. Develop technical strategies and approaches to solve key challenges. Mentor colleagues (scientists, designers, engineers) to help develop their technical skills and support their project work. Plan and manage your own workload effectively. Salary £38,000 - £45,000 + EMI Share Options
Ready to revolutionize healthcare, making it faster and more accessible than ever before? Founded in 2013 by Dwayne D'Souza, HeliosX was built on a simple but powerful idea: healthcare should be easier to access, faster to receive, and centred around the individual. From day one, we've grown without external funding; scaling profitably through technology, disciplined execution, and deep medical expertise. What started as a challenger idea has become one of the most significant healthcare platforms operating globally today. Where we are now: We've earned the trust of millions of people worldwide through category leading products and well known brands, including MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A key driver of our success is vertical integration; we operate our own manufacturing and proprietary products, led by in house medical teams, researchers, and pharmacists at the top of their fields. In 2025, HeliosX treated more than 1.7 million patients globally and reached £781m in revenue, representing % year on year growth and cementing our position as the clear market leader in the UK. That growth translates into real world outcomes: our weight loss treatments helped patients lose 8.5 million kilograms of excess weight in 2025 alone, contributing to an estimated 1,300 fewer cardiac events. This is growth with measurable, life changing impact at scale. Today, we operate across four international markets, with successful launches in Germany and Canada and continued expansion in the US. We were also recently recognised in the Sunday Times Top 100 fastest growing tech companies, further validation of both our momentum and our ambition. Where we're going: 2026 is a step change year. Our ambition is to reach £1.6bn in revenue, expand from four to eight global markets and significantly broaden our condition and treatment portfolio. Over the coming years, you'll help shape HeliosX into a truly world leading healthcare partner; one that combines scale, speed, and clinical rigour to redefine how personalised care is delivered. Joining HeliosX now means building systems, teams, and products that will define the next decade of digital healthcare, and doing work that genuinely improves lives, at global scale. The Opportunity The People Business Partner will work closely with commercial leaders to drive high performance and engagement within brand and growth teams. By understanding the unique needs of fast paced, creative environments, they will shape and deliver people strategies that build managerial capability, strengthen culture, and enable teams to thrive. This role is pivotal in supporting leaders to develop their teams, foster motivation and wellbeing, and deliver sustainable growth outcomes across HeliosX's commercial operations. What you'll do Partner with leaders in brand, marketing, and growth teams to shape and deliver people strategies that enhance performance and capability. Coach managers to set clear expectations, give effective feedback, and differentiate performance confidently. Embed performance frameworks that balance pace, creativity, and wellbeing to build high performing teams. Use people insight and data to identify risks and opportunities, supporting engagement, retention, and sustainable culture. Lead initiatives that strengthen team motivation, wellbeing, and collaboration. Advise on workforce planning and capability development to enable scaling and growth. Support leaders through change with clarity, consistency, and care for their teams. Provide practical HR advice, balancing commercial priorities with people focused outcomes. What You'll Bring to HeliosX Proven HRBP experience in commercial, creative, or high growth environments. Track record of coaching managers to improve performance, accountability, and team effectiveness. Strong influencing skills with senior stakeholders in fast moving, high pressure settings. Ability to balance performance expectations with wellbeing and sustainable culture. Emotionally intelligent, adaptable, and credible with high performing teams. Comfortable using people data to inform decisions and shape proactive strategies. Energised by supporting leaders to build high performing, engaged teams. Life at HeliosX At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all star team, here are the other benefits of coming on board: Benefits Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle to work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget
Feb 25, 2026
Full time
Ready to revolutionize healthcare, making it faster and more accessible than ever before? Founded in 2013 by Dwayne D'Souza, HeliosX was built on a simple but powerful idea: healthcare should be easier to access, faster to receive, and centred around the individual. From day one, we've grown without external funding; scaling profitably through technology, disciplined execution, and deep medical expertise. What started as a challenger idea has become one of the most significant healthcare platforms operating globally today. Where we are now: We've earned the trust of millions of people worldwide through category leading products and well known brands, including MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A key driver of our success is vertical integration; we operate our own manufacturing and proprietary products, led by in house medical teams, researchers, and pharmacists at the top of their fields. In 2025, HeliosX treated more than 1.7 million patients globally and reached £781m in revenue, representing % year on year growth and cementing our position as the clear market leader in the UK. That growth translates into real world outcomes: our weight loss treatments helped patients lose 8.5 million kilograms of excess weight in 2025 alone, contributing to an estimated 1,300 fewer cardiac events. This is growth with measurable, life changing impact at scale. Today, we operate across four international markets, with successful launches in Germany and Canada and continued expansion in the US. We were also recently recognised in the Sunday Times Top 100 fastest growing tech companies, further validation of both our momentum and our ambition. Where we're going: 2026 is a step change year. Our ambition is to reach £1.6bn in revenue, expand from four to eight global markets and significantly broaden our condition and treatment portfolio. Over the coming years, you'll help shape HeliosX into a truly world leading healthcare partner; one that combines scale, speed, and clinical rigour to redefine how personalised care is delivered. Joining HeliosX now means building systems, teams, and products that will define the next decade of digital healthcare, and doing work that genuinely improves lives, at global scale. The Opportunity The People Business Partner will work closely with commercial leaders to drive high performance and engagement within brand and growth teams. By understanding the unique needs of fast paced, creative environments, they will shape and deliver people strategies that build managerial capability, strengthen culture, and enable teams to thrive. This role is pivotal in supporting leaders to develop their teams, foster motivation and wellbeing, and deliver sustainable growth outcomes across HeliosX's commercial operations. What you'll do Partner with leaders in brand, marketing, and growth teams to shape and deliver people strategies that enhance performance and capability. Coach managers to set clear expectations, give effective feedback, and differentiate performance confidently. Embed performance frameworks that balance pace, creativity, and wellbeing to build high performing teams. Use people insight and data to identify risks and opportunities, supporting engagement, retention, and sustainable culture. Lead initiatives that strengthen team motivation, wellbeing, and collaboration. Advise on workforce planning and capability development to enable scaling and growth. Support leaders through change with clarity, consistency, and care for their teams. Provide practical HR advice, balancing commercial priorities with people focused outcomes. What You'll Bring to HeliosX Proven HRBP experience in commercial, creative, or high growth environments. Track record of coaching managers to improve performance, accountability, and team effectiveness. Strong influencing skills with senior stakeholders in fast moving, high pressure settings. Ability to balance performance expectations with wellbeing and sustainable culture. Emotionally intelligent, adaptable, and credible with high performing teams. Comfortable using people data to inform decisions and shape proactive strategies. Energised by supporting leaders to build high performing, engaged teams. Life at HeliosX At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all star team, here are the other benefits of coming on board: Benefits Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle to work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Feb 25, 2026
Full time
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Feb 25, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
We're looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. What you'll get Work at the intersection of AI and life sciences with high impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML. Senior (5+ years of experience) Company: BioTalent
Feb 25, 2026
Full time
We're looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. What you'll get Work at the intersection of AI and life sciences with high impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML. Senior (5+ years of experience) Company: BioTalent
About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. About the role This role aims to perform essential research and development into next generation quantum sensors. The role will be working on control solutions, control system development, and classical and quantum sensor fusion algorithms to enhance the performance of real-world quantum sensors using atom interferometry. This will involve developing novel simulation tools and partnering with experimental physicists to perform data analysis for assessing sensor performance in real-world environments and demonstrating your new methods function. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms. About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!
Feb 25, 2026
Full time
About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. About the role This role aims to perform essential research and development into next generation quantum sensors. The role will be working on control solutions, control system development, and classical and quantum sensor fusion algorithms to enhance the performance of real-world quantum sensors using atom interferometry. This will involve developing novel simulation tools and partnering with experimental physicists to perform data analysis for assessing sensor performance in real-world environments and demonstrating your new methods function. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms. About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!
