About Synechron : Synechron is a leading digital transformation consulting firm dedicated to delivering innovative technology solutions within banking, financial services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting-edge technologies. About role: This role is to provide deep data science expertise across Generative AI, AI-enabled tools , and applied analytics , helping to build stronger evidence base for how AI capabilities are adopted, governed, and improved across engineering and adjacent workflows. The successful candidate will build robust analytical approaches that help to understand where tools such as GitHub Copilot, Claude, and similar AI assistants deliver the strongest benefit, where outcomes are mixed, and what t echnical, workflow, behavioural, or organisationa l patterns explain those differences. The purpose is not only to assess the impact and usage patterns of GenAI tools, but also to create practical insight that can be used by delivery leaders, enablement teams, and engineering communities to improve adoption quality, reinforce strong practices, and guide future AI-tool strategy. This role will connect data science, AI-tool evaluation, engineering metrics , and GenAI adoption strategy. The output should enable better training, education, coaching, and knowledge transfer across the organisation, while helping to set a high internal standard for evidence-based adoption of AI tools in software engineering. Job Location: Sheffield (Hybrid OR Remote - 3 days in the office) Responsible For: Developing the analytical roadmap for Generative AI and AI-tool insight across engineering and adjacent workflows Defining a robust data science strategy for evaluating the impact, adoption, value, and risks of Generative AI and AI tools across engineering workflows Building analytical frameworks to assess tools such as GitHub Copilot, Claude, and similar AI assistants across use cases, engineering workflows, and technical patterns Identifying where GenAI and AI tools are most influential across coding, knowledge work, engineering workflows, SDLC flow, deployment, and DORA-style measures Identifying the key adoption drivers, accelerators, blockers, and best practices associated with stronger productivity outcomes Working with programme leadership to translate analytical findings into actionable recommendations for engineering teams and stakeholders Collaborating with data scientists, engineers, product owners, and programme managers to refine models, hypotheses, and measurement methods Supporting the operationalisation of repeatable insight products, dashboards, and evidence packs that can be used at programme and leadership level Contributing to knowledge acquisition and knowledge transfer by helping convert findings into enablement actions, guidance, playbooks, and learning interventions Communicating findings clearly to senior stakeholders, including both technical and non-technical audiences Major Challenges: This is a high-visibility initiative in a fast-moving area where expectations are high and the evidence needs to be both rigorous and practical Measuring the impact of Generative AI in engineering is analytically difficult because outcomes are influenced by team context, engineering maturity, task type, developer experience, and workflow differences The role requires balancing scientific robustness with the need to deliver useful, timely insight into a fast-evolving tool landscape The successful candidate must work comfortably across ambiguity, changing hypotheses, evolving adoption patterns, and imperfect real-world enterprise data This is an outcomes-driven role and will suit someone who is comfortable iterating quickly, challenging assumptions, and turning analysis into action across a fast-evolving AI landscape ESSENTIAL CANDIDATE REQUIREMENTS (Experience, skills, competencies etc.) Self-starter. Track-record of developing knowledge acquisition, knowledge transfer, communities of interest processes and content. Proven ability to deliver globally across Matrix-based organizations. Strong Influential communication and interpersonal skills, able to operate well across cultures and in multicultural, diverse work environment. Proficiency in verbal and written English, especially proficient in email communication, ppts, and in occasionally rewriting English content when written by a non-native speaker. Willing to learn, explore and implement new and emerging technologies. Ability to work in a fast-paced dynamic environment to deliver high quality results under tight schedule and pressure Proven experience in data analysis, particular in software development context Strong understanding of SDLD, Deployment and DORA metrics and their relevance to developer productivity Experience in translating data analysis into actionable business or operational insights Familiarity with GenAI technologies, specifically coding assistant like GitHub Copilot Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
May 18, 2026
About Synechron : Synechron is a leading digital transformation consulting firm dedicated to delivering innovative technology solutions within banking, financial services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting-edge technologies. About role: This role is to provide deep data science expertise across Generative AI, AI-enabled tools , and applied analytics , helping to build stronger evidence base for how AI capabilities are adopted, governed, and improved across engineering and adjacent workflows. The successful candidate will build robust analytical approaches that help to understand where tools such as GitHub Copilot, Claude, and similar AI assistants deliver the strongest benefit, where outcomes are mixed, and what t echnical, workflow, behavioural, or organisationa l patterns explain those differences. The purpose is not only to assess the impact and usage patterns of GenAI tools, but also to create practical insight that can be used by delivery leaders, enablement teams, and engineering communities to improve adoption quality, reinforce strong practices, and guide future AI-tool strategy. This role will connect data science, AI-tool evaluation, engineering metrics , and GenAI adoption strategy. The output should enable better training, education, coaching, and knowledge transfer across the organisation, while helping to set a high internal standard for evidence-based adoption of AI tools in software engineering. Job Location: Sheffield (Hybrid OR Remote - 3 days in the office) Responsible For: Developing the analytical roadmap for Generative AI and AI-tool insight across engineering and adjacent workflows Defining a robust data science strategy for evaluating the impact, adoption, value, and risks of Generative AI and AI tools across engineering workflows Building analytical frameworks to assess tools such as GitHub Copilot, Claude, and similar AI assistants across use cases, engineering workflows, and technical patterns Identifying where GenAI and AI tools are most influential across coding, knowledge work, engineering workflows, SDLC flow, deployment, and DORA-style measures Identifying the key adoption drivers, accelerators, blockers, and best practices associated with stronger productivity outcomes Working with programme leadership to translate analytical findings into actionable recommendations for engineering teams and stakeholders Collaborating with data scientists, engineers, product owners, and programme managers to refine models, hypotheses, and measurement methods Supporting the operationalisation of repeatable insight products, dashboards, and evidence packs that can be used at programme and leadership level Contributing to knowledge acquisition and knowledge transfer by helping convert findings into enablement actions, guidance, playbooks, and learning interventions Communicating findings clearly to senior stakeholders, including both technical and non-technical audiences Major Challenges: This is a high-visibility initiative in a fast-moving area where expectations are high and the evidence needs to be both rigorous and practical Measuring the impact of Generative AI in engineering is analytically difficult because outcomes are influenced by team context, engineering maturity, task type, developer experience, and workflow differences The role requires balancing scientific robustness with the need to deliver useful, timely insight into a fast-evolving tool landscape The successful candidate must work comfortably across ambiguity, changing hypotheses, evolving adoption patterns, and imperfect real-world enterprise data This is an outcomes-driven role and will suit someone who is comfortable iterating quickly, challenging assumptions, and turning analysis into action across a fast-evolving AI landscape ESSENTIAL CANDIDATE REQUIREMENTS (Experience, skills, competencies etc.) Self-starter. Track-record of developing knowledge acquisition, knowledge transfer, communities of interest processes and content. Proven ability to deliver globally across Matrix-based organizations. Strong Influential communication and interpersonal skills, able to operate well across cultures and in multicultural, diverse work environment. Proficiency in verbal and written English, especially proficient in email communication, ppts, and in occasionally rewriting English content when written by a non-native speaker. Willing to learn, explore and implement new and emerging technologies. Ability to work in a fast-paced dynamic environment to deliver high quality results under tight schedule and pressure Proven experience in data analysis, particular in software development context Strong understanding of SDLD, Deployment and DORA metrics and their relevance to developer productivity Experience in translating data analysis into actionable business or operational insights Familiarity with GenAI technologies, specifically coding assistant like GitHub Copilot Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
May 18, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
May 18, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
May 18, 2026
Full time
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
May 18, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
May 17, 2026
Full time
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
May 16, 2026
Full time
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
May 16, 2026
Full time
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
May 16, 2026
Full time
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
May 15, 2026
Full time
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.
May 15, 2026
Full time
Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.
Principal Analytical Chemist SE England Permanent Our SE based client is currently looking to recruit a Principal Analytical Chemist to perform complex method development and validation using LC-MS / HPLC on a variety of synthesised chemicals and API molecules. This is a hands-on role and would suit someone who enjoys developing novel methods from first principles in busy commercial manufacturing environment. Additional duties for this role will include : Leading a small team of Analytical Chemists, assisting with ongoing project work when required Instrument and method trouble-shooting , solving problems to enable analyses to be completed Working with Synthetic / Process Chemists to understand synthesised chemicals to ultimately ensure the successful analysis of a range of molecules Leading on a number of analytical projects, understanding GMP requirements and defining scope of analytical projects and milestones Understanding / performing analyses with a range of other chromatography, spectroscopy and techniques (including NMR, ICP and others) Completing detailed GMP documentation and reports, ensuring analytical success Understanding new approaches in analytical methodologies and techniques and implementing method improvements Training and mentoring others, leading by example on complex problem solving challenges Applications are invited from candidates with a BSc, MSc, PhD in Analytical Chemistry (or similar) together with proven demonstrable hands-on skills performing complex GMP method development and validation using chromatography systems in an API / synthesis environment For further information or to apply please contact (url removed) (phone number removed) This is a permanent role offering an attractive salary depending on skills and experience Role : Permanent Location : SE England
May 15, 2026
Full time
Principal Analytical Chemist SE England Permanent Our SE based client is currently looking to recruit a Principal Analytical Chemist to perform complex method development and validation using LC-MS / HPLC on a variety of synthesised chemicals and API molecules. This is a hands-on role and would suit someone who enjoys developing novel methods from first principles in busy commercial manufacturing environment. Additional duties for this role will include : Leading a small team of Analytical Chemists, assisting with ongoing project work when required Instrument and method trouble-shooting , solving problems to enable analyses to be completed Working with Synthetic / Process Chemists to understand synthesised chemicals to ultimately ensure the successful analysis of a range of molecules Leading on a number of analytical projects, understanding GMP requirements and defining scope of analytical projects and milestones Understanding / performing analyses with a range of other chromatography, spectroscopy and techniques (including NMR, ICP and others) Completing detailed GMP documentation and reports, ensuring analytical success Understanding new approaches in analytical methodologies and techniques and implementing method improvements Training and mentoring others, leading by example on complex problem solving challenges Applications are invited from candidates with a BSc, MSc, PhD in Analytical Chemistry (or similar) together with proven demonstrable hands-on skills performing complex GMP method development and validation using chromatography systems in an API / synthesis environment For further information or to apply please contact (url removed) (phone number removed) This is a permanent role offering an attractive salary depending on skills and experience Role : Permanent Location : SE England
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
May 15, 2026
Full time
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.
May 14, 2026
Full time
Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.
enior Development Scientist - Gas Metrology & Clean Energy Applications Location: Uttoxeter, Staffordshire Confidential - Specialist Gas Measurement Organisation An established global leader in gas metrology, calibration and analytical science is looking for a Senior Development Scientist to lead cutting-edge research into gas quality and purity for the clean energy sector. This company provides expert measurement science, consultancy and calibration services to clients across energy, environmental, and industrial sectors - helping to set global standards in gas analysis and ensuring accuracy in hydrogen, CO, and LNG applications. The Opportunity You'll play a key role in advancing new analytical methods, instrumentation, and calibration standards. From hydrogen fuel cell impurity testing to CO purity measurement for carbon capture, this role will allow you to apply deep technical expertise across a range of innovative R&D programmes. Key Responsibilities Lead research and development projects in gas analysis, passivation, and purity measurement. Develop and validate new analytical instruments, methodologies and software tools. Oversee laboratory operations, ensuring UKAS accreditation and compliance with quality, safety and environmental standards. Provide technical leadership and consultancy, supporting clients in energy transition and emission reduction programmes. Prepare technical papers, grant applications and client presentations to promote the organisation's scientific capability. Contribute to the design and production of Primary Reference Gas mixtures and measurement standards. Background & Skills Degree (and ideally postgraduate qualification) in chemistry, physics, materials science or a similar discipline. Strong understanding of gas analysis, instrumentation, and calibration science. Experience developing or managing R&D projects within analytical or measurement environments. Excellent communication and reporting skills with the ability to engage clients and research partners. Proficiency in data analysis or basic programming would be advantageous. Why This Role? You'll join a respected, independent organisation that partners globally with energy majors, research institutions, and regulatory bodies to advance gas measurement accuracy and environmental integrity. Alongside competitive salary, performance bonus, and pension contributions, you'll benefit from flexible working, genuine career development, and the chance to contribute to next-generation measurement standards in hydrogen and carbon capture. If you're passionate about applying scientific rigour to real-world energy challenges, this is an outstanding opportunity to lead innovation in a world-class technical environment. INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
May 14, 2026
Full time
enior Development Scientist - Gas Metrology & Clean Energy Applications Location: Uttoxeter, Staffordshire Confidential - Specialist Gas Measurement Organisation An established global leader in gas metrology, calibration and analytical science is looking for a Senior Development Scientist to lead cutting-edge research into gas quality and purity for the clean energy sector. This company provides expert measurement science, consultancy and calibration services to clients across energy, environmental, and industrial sectors - helping to set global standards in gas analysis and ensuring accuracy in hydrogen, CO, and LNG applications. The Opportunity You'll play a key role in advancing new analytical methods, instrumentation, and calibration standards. From hydrogen fuel cell impurity testing to CO purity measurement for carbon capture, this role will allow you to apply deep technical expertise across a range of innovative R&D programmes. Key Responsibilities Lead research and development projects in gas analysis, passivation, and purity measurement. Develop and validate new analytical instruments, methodologies and software tools. Oversee laboratory operations, ensuring UKAS accreditation and compliance with quality, safety and environmental standards. Provide technical leadership and consultancy, supporting clients in energy transition and emission reduction programmes. Prepare technical papers, grant applications and client presentations to promote the organisation's scientific capability. Contribute to the design and production of Primary Reference Gas mixtures and measurement standards. Background & Skills Degree (and ideally postgraduate qualification) in chemistry, physics, materials science or a similar discipline. Strong understanding of gas analysis, instrumentation, and calibration science. Experience developing or managing R&D projects within analytical or measurement environments. Excellent communication and reporting skills with the ability to engage clients and research partners. Proficiency in data analysis or basic programming would be advantageous. Why This Role? You'll join a respected, independent organisation that partners globally with energy majors, research institutions, and regulatory bodies to advance gas measurement accuracy and environmental integrity. Alongside competitive salary, performance bonus, and pension contributions, you'll benefit from flexible working, genuine career development, and the chance to contribute to next-generation measurement standards in hydrogen and carbon capture. If you're passionate about applying scientific rigour to real-world energy challenges, this is an outstanding opportunity to lead innovation in a world-class technical environment. INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Development Chemist require based in West Yorkshire on a permanent basis. Requiring a degree in Chemistry (or similar), with recent and extensive experience in formulating products such as lubricants, oils, greases, coatings (other aligned industries considered), as well as proven industrial experience in developing, validating and applying analytical or performance test methods. Title: Development Chemist Location: West Yorkshire Salary: 32,000 - 40,000 per annum (dependent on experience) Term: Permanent SRG are working with a global, market leading specialist developer and manufacturer of a range of industrial chemicals including fluids, lubricants, oils and other speciality products. They are now seeking a Development Chemist to join their R&D team in West Yorkshire to support in developing both new and existing products within the portfolio. This is a hands-on development position within an established R&D team, combining laboratory formulation work with a strong focus test method development. The successful candidate will play a key role in the development, optimisation and validation of new and existing products, while acting as a technical authority for test methods across the wider team. Benefits: You will join a highly successful company, with an opportunity to make a great impact. 35 hours - Monday to Friday, with flexibility on start and finish times. 25 days holiday and plus bank holidays. Potential for an annual bonus and company pension scheme. Role/Description Lead laboratory-based formulation and development activities from concept through to scale-up readiness Plan and execute laboratory testing using recognised industry-standard and internal test methods Interpret and analyse experimental data to assess performance, guide formulation decisions and support robust technical conclusions Develop, improve and validate analytical and performance test methods to support product development and regulatory requirements Act as a subject matter expert for analytical techniques, advising colleagues on method selection and troubleshooting Support validation, calibration and ongoing suitability of laboratory equipment Provide technical support on in-market products, including root cause analysis and corrective action planning Manage technical aspects of development projects, reporting progress clearly and proactively Prepare high-quality technical reports and presentations for internal and external stakeholders Ensure full compliance with health, safety and regulatory requirements, contributing to a culture of continuous improvement Requirements Degree-level qualification (BSc or higher) in Chemistry or a closely related discipline Extensive practical laboratory experience in formulation or development chemistry within a materials, chemicals or speciality products environment (lubricants, oils, greases, coatings etc.) Proven experience developing, validating and applying analytical or performance test methods Strong ability to design experiments, critically evaluate data and translate results into actionable recommendations Sound understanding of laboratory HSE, COSHH and risk assessment principles 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. 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 Chris 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. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 13, 2026
Full time
Development Chemist require based in West Yorkshire on a permanent basis. Requiring a degree in Chemistry (or similar), with recent and extensive experience in formulating products such as lubricants, oils, greases, coatings (other aligned industries considered), as well as proven industrial experience in developing, validating and applying analytical or performance test methods. Title: Development Chemist Location: West Yorkshire Salary: 32,000 - 40,000 per annum (dependent on experience) Term: Permanent SRG are working with a global, market leading specialist developer and manufacturer of a range of industrial chemicals including fluids, lubricants, oils and other speciality products. They are now seeking a Development Chemist to join their R&D team in West Yorkshire to support in developing both new and existing products within the portfolio. This is a hands-on development position within an established R&D team, combining laboratory formulation work with a strong focus test method development. The successful candidate will play a key role in the development, optimisation and validation of new and existing products, while acting as a technical authority for test methods across the wider team. Benefits: You will join a highly successful company, with an opportunity to make a great impact. 35 hours - Monday to Friday, with flexibility on start and finish times. 25 days holiday and plus bank holidays. Potential for an annual bonus and company pension scheme. Role/Description Lead laboratory-based formulation and development activities from concept through to scale-up readiness Plan and execute laboratory testing using recognised industry-standard and internal test methods Interpret and analyse experimental data to assess performance, guide formulation decisions and support robust technical conclusions Develop, improve and validate analytical and performance test methods to support product development and regulatory requirements Act as a subject matter expert for analytical techniques, advising colleagues on method selection and troubleshooting Support validation, calibration and ongoing suitability of laboratory equipment Provide technical support on in-market products, including root cause analysis and corrective action planning Manage technical aspects of development projects, reporting progress clearly and proactively Prepare high-quality technical reports and presentations for internal and external stakeholders Ensure full compliance with health, safety and regulatory requirements, contributing to a culture of continuous improvement Requirements Degree-level qualification (BSc or higher) in Chemistry or a closely related discipline Extensive practical laboratory experience in formulation or development chemistry within a materials, chemicals or speciality products environment (lubricants, oils, greases, coatings etc.) Proven experience developing, validating and applying analytical or performance test methods Strong ability to design experiments, critically evaluate data and translate results into actionable recommendations Sound understanding of laboratory HSE, COSHH and risk assessment principles 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. 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 Chris 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. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Greater Manchester, United Kingdom London, United Kingdom Birmingham, West Midlands, United Kingdom Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. WSP is one of the world's leading engineering and environmental professional services firms providing technical consultancy to the built and natural environment. We believe that for societies to thrive, we must all hold ourselves accountable for tomorrow. For us, that means creating innovative solutions to the challenges the future will bring to the communities and environments where we live and work across the UK. We are locally dedicated and propelled by international brainpower. We are technical experts and strategic advisors, including engineers, technicians, scientists, planners, surveyors, geo-science and environmental specialists, as well as other design, programme and construction management professionals. Our experts influence and design sustainable lasting solutions in the property & buildings, transportation & infrastructure, earth & environment, industry and power & energy sectors as well as project delivery and strategic consulting services. A little more about your role Our Cost Intelligence team provides expertise in construction economics, leveraging cost and market data to enhance forecasting, benchmarking and demonstrate value for money. We work across all infrastructure sectors and the built environment, supporting clients in major investment decisions by improving confidence through provision of evidenced analyses on cost, risk and inflation and advising how clients can use their own historic data to inform their forward business plans. As a Consultant Analyst in our team, you are passionate about applying digital tools and techniques to solve complex problems. You will work across cost- and project management disciplines to provide specialist cost data advice and analytical capability in stand-alone commissions or as part of a wider multi-disciplined team. You will combine knowledge of the sector challenges, the data available to address them and the technical skills to apply to develop innovative solutions. You will help clients identify solutions to their needs, support developing and applying these and ensure our own services, tools and datasets are kept at the forefront of our discipline and maintaining our reputation as trusted advisors in this space. ACCOUNTABILITIES Contribution to our technical development plans Clear, defensible cost analyses that explains cost drivers, variances, trends, and risk. Accurate, structured, and reliable cost data that supports decision making across projects and programmes. Consistent application of cost breakdown structures, assumptions, and methodologies. Analytical outputs that improve affordability, value, and investment confidence. Robust support to client and programme assurance processes, ensuring cost submissions are credible and transparent. Alignment of cost analysis with agreed governance, assurance, and audit requirements. Translation of complex cost information into understandable narratives. High standards of technical accuracy, transparency, and professional judgement in all cost outputs. RESPONSIBILITIES Development of our digital architecture, data capture and automation processes to facilitate continuous improvement of cost data, analytics, and benchmarking maturity Collect, clean, structure, and maintain estimated, forecast, and actual cost data to populate and maintain benchmark libraries using historic and market data. Apply CBS, asset, and elemental classifications consistently. Undertake cost trend, variance, and sensitivity analysis. Support estimate, target cost, and change reviews, developing comparisons against benchmarks and should cost models. Support development of consistent reporting methods, templates and exemplars. Identify opportunities to improve data capture, automation, and analysis outputs. Work with project controls, commercial, PMO, and engineering teams to integrate cost insights. What we will be looking for you to demonstrate Expert user of Excel to transform and analyse large / complex datasets Knowledge of relational databases and structured query language Experienced user of the power platform to develop reports and automate workflows Proficient in any common portable/low code language or analytical tools (e.g. VBA, Python, R, PowerApps) Strong capability in structuring, cleaning, and managing cost datasets to support repeatable analysis. Ability to analyse and interpret estimated, forecast, and actual cost data to generate meaningful insight across the project lifecycle. Competence in applying cost breakdown structures, asset/elemental classifications, and cost models to enable comparison and benchmarking. Understanding of cost drivers, inflation, market trends, and risk impacts on capital and whole life costs. Clear written and verbal communication aligned to programme governance and decision making needs. Effective collaboration with project controls, commercial, PMO, and engineering teams. Experience supporting infrastructure projects or programmes in sectors such as transport, water, energy, or the built environment. Exposure to multi project or programme level cost reporting and assurance environments. Hands on experience with cost estimates, cost plans, or commercial data, including change events or target cost submissions. QUALIFICATIONS Minimum degree or equivalent experience in: Data Analytics / Data Science / Computer Science / Software Engineering Desirable: Experience and/or qualification in Quantity Surveying, Economics, Mathematics / Statistics What if you could shape a career as unique as you? At WSP, you can always find opportunities to grow and do what matters to you. Make the most of our global reach to discover new challenges and chances to work with diverse, talented individuals who will help you expand your horizons. Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today. Job Info Job Identification 82567 Posting Date 03/12/2026, 12:16 PM About Us We are one of the world's leading engineering and professional services firms. Our 72,800 passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 9,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. WHAT'S IN IT FOR YOU? Work-life balance At WSP, we understand that work is just one aspect of your life. It's important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. Inclusivity & Belonging We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote our culture of inclusivity. We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. Flex your time To enhance work-life balance, WSP offers the "WSP My Hour," allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. We understand the importance of development and training to you. That's why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex . click apply for full job details
May 13, 2026
Full time
Greater Manchester, United Kingdom London, United Kingdom Birmingham, West Midlands, United Kingdom Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. WSP is one of the world's leading engineering and environmental professional services firms providing technical consultancy to the built and natural environment. We believe that for societies to thrive, we must all hold ourselves accountable for tomorrow. For us, that means creating innovative solutions to the challenges the future will bring to the communities and environments where we live and work across the UK. We are locally dedicated and propelled by international brainpower. We are technical experts and strategic advisors, including engineers, technicians, scientists, planners, surveyors, geo-science and environmental specialists, as well as other design, programme and construction management professionals. Our experts influence and design sustainable lasting solutions in the property & buildings, transportation & infrastructure, earth & environment, industry and power & energy sectors as well as project delivery and strategic consulting services. A little more about your role Our Cost Intelligence team provides expertise in construction economics, leveraging cost and market data to enhance forecasting, benchmarking and demonstrate value for money. We work across all infrastructure sectors and the built environment, supporting clients in major investment decisions by improving confidence through provision of evidenced analyses on cost, risk and inflation and advising how clients can use their own historic data to inform their forward business plans. As a Consultant Analyst in our team, you are passionate about applying digital tools and techniques to solve complex problems. You will work across cost- and project management disciplines to provide specialist cost data advice and analytical capability in stand-alone commissions or as part of a wider multi-disciplined team. You will combine knowledge of the sector challenges, the data available to address them and the technical skills to apply to develop innovative solutions. You will help clients identify solutions to their needs, support developing and applying these and ensure our own services, tools and datasets are kept at the forefront of our discipline and maintaining our reputation as trusted advisors in this space. ACCOUNTABILITIES Contribution to our technical development plans Clear, defensible cost analyses that explains cost drivers, variances, trends, and risk. Accurate, structured, and reliable cost data that supports decision making across projects and programmes. Consistent application of cost breakdown structures, assumptions, and methodologies. Analytical outputs that improve affordability, value, and investment confidence. Robust support to client and programme assurance processes, ensuring cost submissions are credible and transparent. Alignment of cost analysis with agreed governance, assurance, and audit requirements. Translation of complex cost information into understandable narratives. High standards of technical accuracy, transparency, and professional judgement in all cost outputs. RESPONSIBILITIES Development of our digital architecture, data capture and automation processes to facilitate continuous improvement of cost data, analytics, and benchmarking maturity Collect, clean, structure, and maintain estimated, forecast, and actual cost data to populate and maintain benchmark libraries using historic and market data. Apply CBS, asset, and elemental classifications consistently. Undertake cost trend, variance, and sensitivity analysis. Support estimate, target cost, and change reviews, developing comparisons against benchmarks and should cost models. Support development of consistent reporting methods, templates and exemplars. Identify opportunities to improve data capture, automation, and analysis outputs. Work with project controls, commercial, PMO, and engineering teams to integrate cost insights. What we will be looking for you to demonstrate Expert user of Excel to transform and analyse large / complex datasets Knowledge of relational databases and structured query language Experienced user of the power platform to develop reports and automate workflows Proficient in any common portable/low code language or analytical tools (e.g. VBA, Python, R, PowerApps) Strong capability in structuring, cleaning, and managing cost datasets to support repeatable analysis. Ability to analyse and interpret estimated, forecast, and actual cost data to generate meaningful insight across the project lifecycle. Competence in applying cost breakdown structures, asset/elemental classifications, and cost models to enable comparison and benchmarking. Understanding of cost drivers, inflation, market trends, and risk impacts on capital and whole life costs. Clear written and verbal communication aligned to programme governance and decision making needs. Effective collaboration with project controls, commercial, PMO, and engineering teams. Experience supporting infrastructure projects or programmes in sectors such as transport, water, energy, or the built environment. Exposure to multi project or programme level cost reporting and assurance environments. Hands on experience with cost estimates, cost plans, or commercial data, including change events or target cost submissions. QUALIFICATIONS Minimum degree or equivalent experience in: Data Analytics / Data Science / Computer Science / Software Engineering Desirable: Experience and/or qualification in Quantity Surveying, Economics, Mathematics / Statistics What if you could shape a career as unique as you? At WSP, you can always find opportunities to grow and do what matters to you. Make the most of our global reach to discover new challenges and chances to work with diverse, talented individuals who will help you expand your horizons. Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today. Job Info Job Identification 82567 Posting Date 03/12/2026, 12:16 PM About Us We are one of the world's leading engineering and professional services firms. Our 72,800 passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 9,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. WHAT'S IN IT FOR YOU? Work-life balance At WSP, we understand that work is just one aspect of your life. It's important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. Inclusivity & Belonging We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote our culture of inclusivity. We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. Flex your time To enhance work-life balance, WSP offers the "WSP My Hour," allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. We understand the importance of development and training to you. That's why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex . click apply for full job details
Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
May 12, 2026
Full time
Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
