Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.
Aug 09, 2026
Full time
Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
Aug 08, 2026
Full time
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Aug 08, 2026
Full time
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Aug 08, 2026
Full time
Facilities Manager St Neots, Cambridgeshire (with travel) Permanent 45,000 - 55,000 DOE Help build the environments where innovation happens At MASS, our facilities do far more than house our people. They're where engineers, scientists and defence specialists develop technologies that support UK Defence and National Security. As our Facilities Manager, you'll help shape the workplaces, laboratories and secure environments that enable that work to happen safely, efficiently and sustainably. This is an opportunity to influence how a growing business develops its estate and not simply maintain what's already there. Why this opportunity? As MASS continues to grow, so does the complexity of the environments we operate from. With investment in secure facilities, specialist laboratories and future workplace expansion, facilities management has become a strategic capability rather than an operational support function. This newly dedicated role has been created to provide the focus and leadership needed to support that growth. You'll have genuine ownership of our estate, helping shape workplace strategy, improve facilities, lead projects and ensure our sites continue to support the people delivering nationally important programmes. If you're looking for a role where you can influence the future rather than simply react to maintenance issues, this is an opportunity to make a lasting impact. Why MASS? MASS offers something different. Unlike large organisations where facilities management can focus on a single location or discipline, you'll have responsibility across a diverse estate that includes offices, specialist laboratories, secure environments and customer-facing facilities. Working across our sites in Cambridgeshire, Lincolnshire and Wiltshire, you'll help create workplaces that enable engineering excellence, customer collaboration and business growth. You'll work with colleagues across Security, Engineering, IT, HR, Finance, Projects and the Executive Team, giving you the opportunity to influence decisions that shape how the organisation develops. What you'll make possible You'll help create environments where people can do their best work by: Leading the day-to-day management of MASS's facilities and estate. Driving improvements to workplace environments, infrastructure and employee experience. Managing contractors, suppliers and facilities service partners. Leading refurbishment, maintenance and workplace improvement projects. Supporting future estate expansion and facilities planning. Ensuring statutory compliance across health, safety and environmental requirements. Supporting business continuity, resilience and secure operational environments. Working closely with Security and Engineering teams to ensure facilities continue to meet the needs of a growing defence technology business. Where you'll work Based at either our head office in St Neots, or our Lincoln office (& Training Academy) you'll work closely with technical, operational and business leaders across the organisation. You'll also support across our sites, with travel to those and customer locations as required. Given the nature of the role, you'll spend much of your time working on-site with colleagues, contractors and stakeholders, helping shape environments that support both today's operations and tomorrow's growth. What we're looking for We're looking for someone who enjoys solving problems, improving environments and making a visible impact across an organisation. If this opportunity excites you but you don't meet every desirable requirement below, we'd still encourage you to apply. Essential You'll bring experience in facilities, estates or property management, together with a strong understanding of statutory compliance and contractor management. You'll also have experience of: Managing facilities services across commercial environments. Leading supplier and contractor relationships. Managing budgets and identifying opportunities for improvement. Maintaining safe, compliant and effective workplaces. It would also be beneficial if you have IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 What you'll take from this role You'll be joining MASS at an exciting stage in our growth. As the business continues its journey towards significantly expanding its capability and estate, you'll play a central role in shaping the physical environments that support our people, our customers and our future. You'll have the opportunity to influence investment decisions, deliver meaningful workplace improvements and leave a lasting mark on a business that's continuing to evolve. You'll also receive a competitive salary of 45,000 - 55,000 DOE, Private Medical Insurance, two pension schemes, flexible annual leave including December shutdown, professional development opportunities, Share Save scheme, Electric Vehicle and Cycle to Work schemes, retail discounts and a wide range of additional benefits. Our non-negotiables Be a UK National with the right to work in the UK. Be eligible to obtain and maintain Security Check (SC) clearance. Due to the nature of the environments you'll support, you'll need to: IWFM, IOSH or similar professional qualifications. Experience working within Defence or other highly regulated industries. Knowledge of ISO 14001, ISO 45001 or comparable standards. Experience supporting secure or specialist technical environments. Experience in electrical engineering best practises such as BS 7671 Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver tailored, agile and resilient solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled technical experts to secure advantage and support digital transformation. MASS is an equal opportunities employer where everyone is valued and has the opportunity to make an impact. Apply today If you're ready to help shape the environments that enable innovation, collaboration and future growth across one of the UK's leading defence technology businesses, we'd love to hear from you.
Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 07, 2026
Full time
Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
We re AND-E one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level. You ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands-on contribution to technical delivery, acting as a part-time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre-sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non-technical stakeholders. We are happy to consider candidates who prefer hybrid or remote ways of working. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. Lead multidisciplinary teams of ML engineers A1.1 A1.2 , ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with the Project Management function to scope, plan and support delivery engagements. Oversee the maintenance and continuous improvement of deployed solutions. Drive reuse of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production-grade ML systems and leading technical work across teams or projects. • Strong software engineering background, with experience building and delivering machine learning or data-driven systems in production or near-production environments. • Experience leading or managing machine learning engineers or other technical contributors in a delivery-focused setting. • Experience supporting pre-sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. • Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. • Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments. • Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Aug 07, 2026
Full time
We re AND-E one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level. You ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands-on contribution to technical delivery, acting as a part-time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre-sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non-technical stakeholders. We are happy to consider candidates who prefer hybrid or remote ways of working. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. Lead multidisciplinary teams of ML engineers A1.1 A1.2 , ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with the Project Management function to scope, plan and support delivery engagements. Oversee the maintenance and continuous improvement of deployed solutions. Drive reuse of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production-grade ML systems and leading technical work across teams or projects. • Strong software engineering background, with experience building and delivering machine learning or data-driven systems in production or near-production environments. • Experience leading or managing machine learning engineers or other technical contributors in a delivery-focused setting. • Experience supporting pre-sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. • Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. • Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments. • Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
Aug 07, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Aug 07, 2026
Contractor
We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Salary Range: £53,269 - £68,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact At Leonardo, our Principal Data Engineers lead the design and delivery of secure, scalable data solutions that underpin critical defence, government, and commercial operations. As a technical authority and people manager, you'll guide engineering teams through the full data lifecycle-transforming raw data into actionable insight across hybrid and cloud environments. This role blends technical leadership, stakeholder engagement, and team development, offering the opportunity to shape data strategy and capability across multiple programmes. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Principal Data Engineer Provide technical leadership and oversight for data engineering delivery within your team Lead the design, implementation and maintenance of end-to-end data solutions: acquisition, integration, storage, processing, and analysis Implement scalable data solutions using big data architectures and workflow management systems Guide the development of tools for data-driven insights and task automation Continuously test and monitor systems to improve performance and reliability Research and adopt emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Mentor and coach junior data engineers to build team capability, while managing project tasks across your own and their workloads. Support technology assessments, feasibility studies, and roadmap development Engage with stakeholders and customers, presenting and defending technical solutions Manage a small team of direct reports, providing guidance, mentorship and support for their career development Support the effective operation of the wider team through utilisation tracking, chairing team meetings and resource management What you'll bring Demonstrated leadership in data engineering, with experience managing and mentoring others. Ability to take ownership of engineering delivery and drive team performance. Strong communication and stakeholder engagement skills. A proactive mindset with a commitment to continuous learning and capability development. Proven ability to work across disciplines and collaborate effectively in multi-functional teams. A strategic approach to problem-solving and technical decision-making. Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaboration Desirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid
Aug 06, 2026
Full time
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Salary Range: £53,269 - £68,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact At Leonardo, our Principal Data Engineers lead the design and delivery of secure, scalable data solutions that underpin critical defence, government, and commercial operations. As a technical authority and people manager, you'll guide engineering teams through the full data lifecycle-transforming raw data into actionable insight across hybrid and cloud environments. This role blends technical leadership, stakeholder engagement, and team development, offering the opportunity to shape data strategy and capability across multiple programmes. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Principal Data Engineer Provide technical leadership and oversight for data engineering delivery within your team Lead the design, implementation and maintenance of end-to-end data solutions: acquisition, integration, storage, processing, and analysis Implement scalable data solutions using big data architectures and workflow management systems Guide the development of tools for data-driven insights and task automation Continuously test and monitor systems to improve performance and reliability Research and adopt emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Mentor and coach junior data engineers to build team capability, while managing project tasks across your own and their workloads. Support technology assessments, feasibility studies, and roadmap development Engage with stakeholders and customers, presenting and defending technical solutions Manage a small team of direct reports, providing guidance, mentorship and support for their career development Support the effective operation of the wider team through utilisation tracking, chairing team meetings and resource management What you'll bring Demonstrated leadership in data engineering, with experience managing and mentoring others. Ability to take ownership of engineering delivery and drive team performance. Strong communication and stakeholder engagement skills. A proactive mindset with a commitment to continuous learning and capability development. Proven ability to work across disciplines and collaborate effectively in multi-functional teams. A strategic approach to problem-solving and technical decision-making. Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaboration Desirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid
Data Scientist Role Type: Temporary contract Contract Length: 6 months initially Pay Rate: up to 450- 550 per day (inside IR35), depending on experience Location: London (Hybrid) The Role We're looking for an experienced Data Scientist to develop intelligent, data-driven products that help organisations make better decisions in complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially valuable products while helping shape the future of data and AI across a global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability. Develop risk scoring models, benchmarks and domain-specific analytical frameworks that support customer decision-making. Product Development Translate customer challenges and market requirements into innovative analytical solutions and data products. Work closely with Product Managers to help define product value propositions, success metrics and commercial opportunities. Contribute to product roadmap planning by assessing technical feasibility, business impact and customer value. Data Quality & Governance Define data quality standards, validation rules and anomaly detection processes. Ensure analytical solutions align with privacy, governance and ethical AI principles, particularly within regulated environments. Support data lineage, explainability and auditability across analytical outputs. Collaboration & Delivery Partner with Data Engineers to ensure reliable, model-ready data pipelines. Work alongside Machine Learning Engineers to deploy and operationalise models at scale. Present technical findings and recommendations clearly to both technical and non-technical stakeholders. What We're Looking For Essential 7+ years' experience in Data Science or a similar advanced analytics role. Strong programming skills in Python and SQL , with experience using modern machine learning libraries. Experience building predictive models using statistical and machine learning techniques. Strong communication skills with the ability to translate complex analysis into clear business insights. Experience working with large, complex datasets in cloud-based analytics environments. Desirable Experience developing customer-facing or commercially focused data products. Experience working in regulated industries such as Financial Services, Healthcare, Energy or Security. Knowledge of data governance, model explainability and responsible AI practices. Experience collaborating with Product Managers and cross-functional engineering teams. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Aug 06, 2026
Contractor
Data Scientist Role Type: Temporary contract Contract Length: 6 months initially Pay Rate: up to 450- 550 per day (inside IR35), depending on experience Location: London (Hybrid) The Role We're looking for an experienced Data Scientist to develop intelligent, data-driven products that help organisations make better decisions in complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially valuable products while helping shape the future of data and AI across a global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability. Develop risk scoring models, benchmarks and domain-specific analytical frameworks that support customer decision-making. Product Development Translate customer challenges and market requirements into innovative analytical solutions and data products. Work closely with Product Managers to help define product value propositions, success metrics and commercial opportunities. Contribute to product roadmap planning by assessing technical feasibility, business impact and customer value. Data Quality & Governance Define data quality standards, validation rules and anomaly detection processes. Ensure analytical solutions align with privacy, governance and ethical AI principles, particularly within regulated environments. Support data lineage, explainability and auditability across analytical outputs. Collaboration & Delivery Partner with Data Engineers to ensure reliable, model-ready data pipelines. Work alongside Machine Learning Engineers to deploy and operationalise models at scale. Present technical findings and recommendations clearly to both technical and non-technical stakeholders. What We're Looking For Essential 7+ years' experience in Data Science or a similar advanced analytics role. Strong programming skills in Python and SQL , with experience using modern machine learning libraries. Experience building predictive models using statistical and machine learning techniques. Strong communication skills with the ability to translate complex analysis into clear business insights. Experience working with large, complex datasets in cloud-based analytics environments. Desirable Experience developing customer-facing or commercially focused data products. Experience working in regulated industries such as Financial Services, Healthcare, Energy or Security. Knowledge of data governance, model explainability and responsible AI practices. Experience collaborating with Product Managers and cross-functional engineering teams. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 05, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 05, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior Data Scientist - Insurance & Machine Learning & Pricing Analytics Our client, a leading London Market insurer, is seeking a Senior Data Scientist to join their growing Data Science function. Following significant investment and increased adoption of data science across the business, this role offers the opportunity to work on a range of high-impact machine learning and analytics initiatives that are influencing business strategy and underwriting performance. Reporting directly to the Data Science Manager, you will join a close-knit team of data science professionals and play a key role in shaping and delivering advanced analytical solutions across the organisation. This is an excellent opportunity for an experienced Data Scientist looking to step into a senior-level position within a business where data science has genuine visibility and support from senior stakeholders. This is a permanent role paying up to £92,000 and requires 3 days per week in the London office. Experience Required: Demonstratable years' experience in a Data Scientist position, with the ability to operate at Senior Data Scientist level Strong Python development skills with experience building and deploying machine learning solutions Experience working with MLOps frameworks and best practices Strong understanding of CI/CD principles and deployment processes Experience developing, tuning, testing, and optimising machine learning models Good understanding of model validation, experimentation, and performance measurement techniques Insurance industry experience is essential Exposure to actuarial modelling and pricing optimisation within insurance is highly desirable and close to essential Excellent communication and stakeholder management skills with the ability to engage effectively with both technical and non-technical audiences A collaborative, hardworking, and pragmatic approach to problem-solving Desirable Skills: Experience with Databricks or similar modern data platforms Exposure to pricing, underwriting, or actuarial analytics within the insurance sector If you feel you have the right skill set to take on this opportunity, please apply. Successful candidates will be contacted within 2 working days. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy actively promotes the principles of equality, diversity, and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors, and the public. We fully believe an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all, and we approach recruitment for our clients with the same perspective and qualities. Senior Data Scientist - Insurance, Machine Learning & Pricing Analytics
Aug 05, 2026
Full time
Senior Data Scientist - Insurance & Machine Learning & Pricing Analytics Our client, a leading London Market insurer, is seeking a Senior Data Scientist to join their growing Data Science function. Following significant investment and increased adoption of data science across the business, this role offers the opportunity to work on a range of high-impact machine learning and analytics initiatives that are influencing business strategy and underwriting performance. Reporting directly to the Data Science Manager, you will join a close-knit team of data science professionals and play a key role in shaping and delivering advanced analytical solutions across the organisation. This is an excellent opportunity for an experienced Data Scientist looking to step into a senior-level position within a business where data science has genuine visibility and support from senior stakeholders. This is a permanent role paying up to £92,000 and requires 3 days per week in the London office. Experience Required: Demonstratable years' experience in a Data Scientist position, with the ability to operate at Senior Data Scientist level Strong Python development skills with experience building and deploying machine learning solutions Experience working with MLOps frameworks and best practices Strong understanding of CI/CD principles and deployment processes Experience developing, tuning, testing, and optimising machine learning models Good understanding of model validation, experimentation, and performance measurement techniques Insurance industry experience is essential Exposure to actuarial modelling and pricing optimisation within insurance is highly desirable and close to essential Excellent communication and stakeholder management skills with the ability to engage effectively with both technical and non-technical audiences A collaborative, hardworking, and pragmatic approach to problem-solving Desirable Skills: Experience with Databricks or similar modern data platforms Exposure to pricing, underwriting, or actuarial analytics within the insurance sector If you feel you have the right skill set to take on this opportunity, please apply. Successful candidates will be contacted within 2 working days. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy actively promotes the principles of equality, diversity, and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors, and the public. We fully believe an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all, and we approach recruitment for our clients with the same perspective and qualities. Senior Data Scientist - Insurance, Machine Learning & Pricing Analytics
Data Engineer Role Type: Temporary contract Contract Length: 6 months initially Pay Rate: up to 400- 500 per day (inside IR35), depending on experience Location: London (Hybrid) The Role We're looking for a Data Engineer to design, build and maintain a modern cloud-based data platform that supports scalable data products across the business. You'll work closely with Product Managers, Solution Architects, Data Architects and other engineers to develop reliable data pipelines, improve data quality and create infrastructure that enables analytics, machine learning and future AI initiatives. This is an opportunity to join a business investing heavily in its data capabilities while working on products that have a genuine real-world impact. Key Responsibilities Data Engineering Design and build batch and real-time data pipelines from internal and external data sources. Develop and maintain cloud-native data lake and data warehouse solutions. Ensure data platforms remain scalable, reliable and cost-effective. Data Quality & Governance Implement automated data quality checks and monitoring. Support data governance, metadata management, lineage and access controls. Build security, privacy and compliance into data solutions from the outset. Analytics & Machine Learning Optimise datasets for analytics, reporting and machine learning. Work closely with Data Scientists and ML Engineers to support new products and models. Enable self-service access to trusted data across the organisation. Continuous Improvement Improve the performance, scalability and reliability of existing data pipelines. Introduce modern tooling, best practices and automation. Contribute to the long-term data platform roadmap and AI strategy. What We're Looking For Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning or AI platforms. Knowledge of data governance, metadata management and data lineage. Experience building modern cloud data lake or warehouse architectures. Education Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline. Master's degree in Big Data, Artificial Intelligence or a similar field is advantageous. Certifications such as PMP, PMI-ACP, SAFe or Certified ScrumMaster are beneficial. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Aug 05, 2026
Contractor
Data Engineer Role Type: Temporary contract Contract Length: 6 months initially Pay Rate: up to 400- 500 per day (inside IR35), depending on experience Location: London (Hybrid) The Role We're looking for a Data Engineer to design, build and maintain a modern cloud-based data platform that supports scalable data products across the business. You'll work closely with Product Managers, Solution Architects, Data Architects and other engineers to develop reliable data pipelines, improve data quality and create infrastructure that enables analytics, machine learning and future AI initiatives. This is an opportunity to join a business investing heavily in its data capabilities while working on products that have a genuine real-world impact. Key Responsibilities Data Engineering Design and build batch and real-time data pipelines from internal and external data sources. Develop and maintain cloud-native data lake and data warehouse solutions. Ensure data platforms remain scalable, reliable and cost-effective. Data Quality & Governance Implement automated data quality checks and monitoring. Support data governance, metadata management, lineage and access controls. Build security, privacy and compliance into data solutions from the outset. Analytics & Machine Learning Optimise datasets for analytics, reporting and machine learning. Work closely with Data Scientists and ML Engineers to support new products and models. Enable self-service access to trusted data across the organisation. Continuous Improvement Improve the performance, scalability and reliability of existing data pipelines. Introduce modern tooling, best practices and automation. Contribute to the long-term data platform roadmap and AI strategy. What We're Looking For Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning or AI platforms. Knowledge of data governance, metadata management and data lineage. Experience building modern cloud data lake or warehouse architectures. Education Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline. Master's degree in Big Data, Artificial Intelligence or a similar field is advantageous. Certifications such as PMP, PMI-ACP, SAFe or Certified ScrumMaster are beneficial. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics
Aug 04, 2026
Full time
Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics
Senior Product Data Scientist Contract Length: 12 Months Location: Hybrid - 3 days a week at Heathrow Airport IR35 Status: Inside About the Role We are looking for a Senior Product Data Scientist to help drive product innovation through data, experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges. What You'll Do Partner with Product and Engineering teams to define success metrics and evaluate product performance. Conduct exploratory analysis to identify opportunities for growth and customer impact. Design and analyse experiments including A/B tests and observational studies. Build predictive models and analytical tools that support product decision-making. Develop decision science and optimisation solutions where appropriate. Create dashboards, reporting frameworks and self-service analytics capabilities. Present findings and recommendations to both technical and non-technical audiences. Collaborate with stakeholders to translate business problems into analytical solutions. Contribute to data science best practices and mentor junior team members. Preferred Experience 4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields. Experience using data to influence product or business decisions. Strong understanding of statistics, experimentation and machine learning. Experience delivering end-to-end analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jul 15, 2026
Contractor
Senior Product Data Scientist Contract Length: 12 Months Location: Hybrid - 3 days a week at Heathrow Airport IR35 Status: Inside About the Role We are looking for a Senior Product Data Scientist to help drive product innovation through data, experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges. What You'll Do Partner with Product and Engineering teams to define success metrics and evaluate product performance. Conduct exploratory analysis to identify opportunities for growth and customer impact. Design and analyse experiments including A/B tests and observational studies. Build predictive models and analytical tools that support product decision-making. Develop decision science and optimisation solutions where appropriate. Create dashboards, reporting frameworks and self-service analytics capabilities. Present findings and recommendations to both technical and non-technical audiences. Collaborate with stakeholders to translate business problems into analytical solutions. Contribute to data science best practices and mentor junior team members. Preferred Experience 4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields. Experience using data to influence product or business decisions. Strong understanding of statistics, experimentation and machine learning. Experience delivering end-to-end analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
No agencies please Summary At Zetica, Geophysicists play a key role in ensuring technical excellence throughout all phases of near-surface geophysical projects. This includes fieldwork, in-depth data interpretation, and the preparation of clear, accurate reports. Your experience will grow quickly across this breadth of applications, utilising established and developing techniques and technologies for our wide-ranging client base. You will have access to an enviable inventory of equipment. You will work closely with a team of geophysicists, reporting to the Geophysical Services Manager and the Operations Director. Collaboration with senior geophysicists and administrative staff will be an integral part of your role. Responsibilities You will play a vital role in all stages of geophysical project progression, from initial planning to data collection, reporting, and quality assurance. You will have a relevant geoscience degree, a thorough understanding of physics, and experience with Autocad and Geosoft Oasis Montaj. You will be involved in projects across all of Zetica's departments, including surveys for transport infrastructure and for engineering, geotechnical, geological and environmental purposes as well as unexploded ordnance (UXO) and utility service detection surveys. Your responsibilities will include: Project preparation: Prepare projects based on customer requirements, assessing and agreeing on effective techniques prior to site work, with a focus on quality, customer service, budget, and program constraints. Data collection: Competently collect high-quality data using a range of techniques, including electromagnetics, magnetics, radio frequency location, GPR, seismics, ERI. Experience in utility mapping would be advantageous. Data processing and analysis: Use specialist geophysical software and drawing packages (e.g., AutoCAD, Oasis Montaj, RES2DINV, GeoGiga, Geolitix) to QC, process, analyse, and interpret data. Reporting: You will be experienced in producing clear and concise technical reports, which are project and client specific. Compliance: Adhere to Zetica's health, safety, environmental, and quality policies, leading by example in their application. Technical growth: Your existing experience will add to the significant pool of knowledge within the team. You will be able to enhance your skills and knowledge. Zetica will empower and reward innovative thinking while delivering a consistent product. Customer interaction: Communicate professionally and effectively with clients, stakeholders, and colleagues. Requirements Being a geophysicist at Zetica will take you into all kinds of working environments. There will be extensive training in all skills, as well as health and safety procedures. You will need to be physically fit for this position and flexible in your planning. You may need to mobilise at a moment's notice, and resilience is essential for this role. You will work with a fantastic team of like-minded, ambitious, and energetic people. You need to be a good team worker, able to take direction as well as lead others when responsible for tasks. You need to understand that Health and Safety lies at the basis of work well and efficiently concluded. You will need: A relevant degree (e.g., Geophysics, Earth Sciences, or related discipline). Excellent knowledge of physics first principles. A full manual driving license. Strong communication and interpersonal skills. Physical fitness to meet the demands of site work, including lifting equipment and walking significant distances. A proactive approach to problem-solving and innovation. The flexibility to mobilise at short notice and adapt to varying work environments. The position will involve travel, some international. You must already have the right to work in the UK, as we do not sponsor for a visa. Job Types: Full-time, Permanent Pay: From £29,000.00 per year Additional pay: Bonus scheme Benefits: Casual dress Company events Company pension Cycle to work scheme On-site parking Profit sharing Schedule: Day shift Monday to Friday Night shift Weekend availability Ability to commute/relocate: Oxford: reliably commute or plan to relocate before starting work (required) Education: Bachelor's (required) Experience: Earth & Environmental Scientists: 1 year (required) Licence/Certification: full clean manual UK driving licence (required) Work authorisation: United Kingdom (required) Work Location: In person
Oct 08, 2025
Full time
No agencies please Summary At Zetica, Geophysicists play a key role in ensuring technical excellence throughout all phases of near-surface geophysical projects. This includes fieldwork, in-depth data interpretation, and the preparation of clear, accurate reports. Your experience will grow quickly across this breadth of applications, utilising established and developing techniques and technologies for our wide-ranging client base. You will have access to an enviable inventory of equipment. You will work closely with a team of geophysicists, reporting to the Geophysical Services Manager and the Operations Director. Collaboration with senior geophysicists and administrative staff will be an integral part of your role. Responsibilities You will play a vital role in all stages of geophysical project progression, from initial planning to data collection, reporting, and quality assurance. You will have a relevant geoscience degree, a thorough understanding of physics, and experience with Autocad and Geosoft Oasis Montaj. You will be involved in projects across all of Zetica's departments, including surveys for transport infrastructure and for engineering, geotechnical, geological and environmental purposes as well as unexploded ordnance (UXO) and utility service detection surveys. Your responsibilities will include: Project preparation: Prepare projects based on customer requirements, assessing and agreeing on effective techniques prior to site work, with a focus on quality, customer service, budget, and program constraints. Data collection: Competently collect high-quality data using a range of techniques, including electromagnetics, magnetics, radio frequency location, GPR, seismics, ERI. Experience in utility mapping would be advantageous. Data processing and analysis: Use specialist geophysical software and drawing packages (e.g., AutoCAD, Oasis Montaj, RES2DINV, GeoGiga, Geolitix) to QC, process, analyse, and interpret data. Reporting: You will be experienced in producing clear and concise technical reports, which are project and client specific. Compliance: Adhere to Zetica's health, safety, environmental, and quality policies, leading by example in their application. Technical growth: Your existing experience will add to the significant pool of knowledge within the team. You will be able to enhance your skills and knowledge. Zetica will empower and reward innovative thinking while delivering a consistent product. Customer interaction: Communicate professionally and effectively with clients, stakeholders, and colleagues. Requirements Being a geophysicist at Zetica will take you into all kinds of working environments. There will be extensive training in all skills, as well as health and safety procedures. You will need to be physically fit for this position and flexible in your planning. You may need to mobilise at a moment's notice, and resilience is essential for this role. You will work with a fantastic team of like-minded, ambitious, and energetic people. You need to be a good team worker, able to take direction as well as lead others when responsible for tasks. You need to understand that Health and Safety lies at the basis of work well and efficiently concluded. You will need: A relevant degree (e.g., Geophysics, Earth Sciences, or related discipline). Excellent knowledge of physics first principles. A full manual driving license. Strong communication and interpersonal skills. Physical fitness to meet the demands of site work, including lifting equipment and walking significant distances. A proactive approach to problem-solving and innovation. The flexibility to mobilise at short notice and adapt to varying work environments. The position will involve travel, some international. You must already have the right to work in the UK, as we do not sponsor for a visa. Job Types: Full-time, Permanent Pay: From £29,000.00 per year Additional pay: Bonus scheme Benefits: Casual dress Company events Company pension Cycle to work scheme On-site parking Profit sharing Schedule: Day shift Monday to Friday Night shift Weekend availability Ability to commute/relocate: Oxford: reliably commute or plan to relocate before starting work (required) Education: Bachelor's (required) Experience: Earth & Environmental Scientists: 1 year (required) Licence/Certification: full clean manual UK driving licence (required) Work authorisation: United Kingdom (required) Work Location: In person
AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.
Oct 08, 2025
Contractor
AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 08, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Experienced Food/Flavours Technical Sales Manager looking to further develop their career required for a well-established chemical distributor in the West Midlands. Title: Technical Sales Manager - Food & Flavour Ingredients Location: Remote, occasional requirement on site in West Midlands office Salary: 45,000 - 65,000 (dependent upon experience) + benefits Term: Permanent SRG is exclusively partnering with a leading food ingredient distributor in the West Midlands, who offer a wide range of innovative raw materials to manufacturers and brands in the UK food, beverage and nutritional markets. With a big focus on in-house recipe development and manufacturing, collaboration and customer centricity, they have a well-known reputation for success in the market. Our client believes that delivering value starts with their people. By placing Employee Development at the heart of everything they do, they empower teams to grow, innovate and excel in their roles. This commitment not only enhances individual potential but also drives the exceptional service and solutions their customers deserve, ensuring they consistently exceed expectations and set new standards of excellence. Adopting a value-based sales approach, you will travel extensively across the UK, regularly meeting customers to continually build, develop and grow customer relationships across food and beverage manufacturers and brands. The role is suited to a business development hunter, with a target customer base of around 50 - 100. Benefits: Company car, 20% bonus (purely based on individual performance), company credit card and private healthcare amongst other benefits. Role / Description Identifying, contacting and developing new business using a variety of methods Promoting the company's range of innovative food ingredients Growing market presence across the UK food and beverage industries Growing existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 1/3 of your time across the UK to visit customer sites Generating leads to identify new potential UK personal care customers Maintaining and updating the database to build a national customer pool Keeping abreast of product development & trends in the food and beverage industries. Requirements Direct experience in consultative and technical sales of food and beverage ingredients (experience with flavours specifically would be a benefit) Degree-level qualified (or equivalent) in Chemistry, Food Science or a closely related subject Experience with delivering technical presentations on food speciality ingredients Excellent communication and interpersonal skills Willing, and excited, to travel 1/3 of your time across the whole of the UK Full, clean UK driving licence A proactive approach and drive to deliver exceptional customer service. If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Oct 07, 2025
Full time
Experienced Food/Flavours Technical Sales Manager looking to further develop their career required for a well-established chemical distributor in the West Midlands. Title: Technical Sales Manager - Food & Flavour Ingredients Location: Remote, occasional requirement on site in West Midlands office Salary: 45,000 - 65,000 (dependent upon experience) + benefits Term: Permanent SRG is exclusively partnering with a leading food ingredient distributor in the West Midlands, who offer a wide range of innovative raw materials to manufacturers and brands in the UK food, beverage and nutritional markets. With a big focus on in-house recipe development and manufacturing, collaboration and customer centricity, they have a well-known reputation for success in the market. Our client believes that delivering value starts with their people. By placing Employee Development at the heart of everything they do, they empower teams to grow, innovate and excel in their roles. This commitment not only enhances individual potential but also drives the exceptional service and solutions their customers deserve, ensuring they consistently exceed expectations and set new standards of excellence. Adopting a value-based sales approach, you will travel extensively across the UK, regularly meeting customers to continually build, develop and grow customer relationships across food and beverage manufacturers and brands. The role is suited to a business development hunter, with a target customer base of around 50 - 100. Benefits: Company car, 20% bonus (purely based on individual performance), company credit card and private healthcare amongst other benefits. Role / Description Identifying, contacting and developing new business using a variety of methods Promoting the company's range of innovative food ingredients Growing market presence across the UK food and beverage industries Growing existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 1/3 of your time across the UK to visit customer sites Generating leads to identify new potential UK personal care customers Maintaining and updating the database to build a national customer pool Keeping abreast of product development & trends in the food and beverage industries. Requirements Direct experience in consultative and technical sales of food and beverage ingredients (experience with flavours specifically would be a benefit) Degree-level qualified (or equivalent) in Chemistry, Food Science or a closely related subject Experience with delivering technical presentations on food speciality ingredients Excellent communication and interpersonal skills Willing, and excited, to travel 1/3 of your time across the whole of the UK Full, clean UK driving licence A proactive approach and drive to deliver exceptional customer service. If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
