76 to 90 of 90 Senior Data Scientist Jobs in London

LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical lead, or … implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists, fostering a collaborative and innovative work environment. Stay ahead of industry trends and emerging data technologies, bringing … fresh perspectives and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering More ❯

LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical lead, or … implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists, fostering a collaborative and innovative work environment. Stay ahead of industry trends and emerging data technologies, bringing … fresh perspectives and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Scientist - Sustainability The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure … that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority More ❯

Scheme Agricultural Technology Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Scientist - Sustainability The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure … that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority More ❯

Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well More ❯

evolving digital landscape, delivering cutting-edge products to over one million digital subscribers daily. Our growth relies on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists. With a supportive culture, entrepreneurial spirit and opportunities at every turn, there are no limits to where your FT career can take you. Build a newsworthy career at … are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role This is a unique opportunity for someone with experience managing data science projects and leading data scientists. You'll head a team focused on growing our subscriber base and supporting our award-winning journalism. You'll collaborate across cross … functional teams of data scientists, ML engineers, developers, product managers, marketers and journalists to shape and deliver impactful projects. These range from personalising content recommendations to churn prediction and subscription optimisation. If you're passionate about applying data science to business challenges in a creative, collaborative way, we'd love to hear from you. Key Responsibilities Manage and More ❯

evolving digital landscape, delivering cutting-edge products to over one million digital subscribers daily. Our growth relies on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists. With a supportive culture, entrepreneurial spirit and opportunities at every turn, there are no limits to where your FT career can take you. Build a newsworthy career at … are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role This is a unique opportunity for someone with experience managing data science projects and leading data scientists. You'll head a team focused on growing our subscriber base and supporting our award-winning journalism. You'll collaborate across cross … functional teams of data scientists, ML engineers, developers, product managers, marketers and journalists to shape and deliver impactful projects. These range from personalising content recommendations to churn prediction and subscription optimisation. If you're passionate about applying data science to business challenges in a creative, collaborative way, we'd love to hear from you. Key Responsibilities Manage and More ❯

has the power to create their own destiny andmake a positive contribution to the world of banking and society. THE ROLE We are seeking a visionary and hands-onPrincipal Data Scientistto lead the design, development, and deployment of cutting-edgeAI/ML solutionsacross our Banking AI portfolio. This role is central to Temenos' AI strategy, delivering responsible, high-impact … operate and serve their customers. You will work closely with product managers, engineers, and domain experts to build scalable, ethical, and high-performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics. OPPORTUNITIES AI Strategy & Innovation Lead research and prototyping of novel AI techniques … models into scalable, cloud-native and on-prem systems. Establish best practices for model monitoring, retraining, and lifecycle management. Technical Leadership & Mentorship Provide technical direction and mentorship to junior data scientists and engineers. Review code, model architectures, and experiments to ensure scientific rigor and quality. Contribute to the development of internal AI frameworks, tools, and reusable components. Stakeholder Engagement More ❯