Top Data Science Jobs in London

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

As a Data Science Intern, you will support investment strategies through data analysis, model refinement, and collaboration with investment and IT teams. Responsibilities include statistical analysis, predictive modeling, and developing data tools for the Secondaries and Primaries market.

Lead and develop teams of data scientists, driving impactful projects through experimentation, causal inference, and applied machine learning while collaborating with various stakeholders.

Lead strategy and execution of analytics and AI/ML products to measure and maximize player lifetime value. Drive cross-team alignment, prioritize roadmaps, define experimentation and modelling standards, and ensure scalable, production-grade ML capabilities are adopted and deliver measurable business impact.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

Manage planning, coordination and execution of data science and AI initiatives. Maintain program plans, dashboards (Domo), perform SQL-based analysis, track risks, align technical dependencies, and enable adoption through reporting, AI Agent context and stakeholder communication.

The Senior Data Engineer will design and implement scalable data pipelines in Azure, collaborate with teams to improve data quality and accessibility, and drive standardization across data practices.

Manage and coach multiple sport-specific data science leads, ensure alignment and delivery of forecasting models, plan resourcing and staffing, maintain technical standards and cross-team collaboration, escalate and resolve technical or resourcing issues, and contribute to department strategy, tooling, and hiring.

Lead and scale product, marketing, and business analytics and experimentation. Set strategy, enforce statistical standards, deliver metric governance and single source of truth, partner with Analytics Engineering, drive marketing measurement and forecasting, hire and mentor senior managers, and represent analytics at executive level to improve retention, conversion, monetization, and LTV.

Lead iwoca's data science function, developing probabilistic models for lending decisions and embedding AI across the business, while managing team growth and strategic direction.

The role involves creating research content, providing insights in Analytics and AI, engaging with clients, and mentoring team members. A strong focus on industry trends and effective presentation skills is required.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

The Data Science Manager at Wayflyer leads a team of Data Science and ML Engineers, overseeing the ML lifecycle and collaborating on data-driven strategies to support business growth.

Manage high-impact marketing effectiveness programmes, oversee project governance, mentor teams, and drive strategic client insights, focusing on business growth.

Lead the Autoplanner team to develop AI systems for logistics, integrating data science models with backend services while mentoring team members and improving processes.

The Data Science Lead will lead a team of data scientists in developing ML systems for logistics, overseeing the entire lifecycle from research to production.

Interim lead for Growth Data Science & Analytics managing a team of three. Own analytics roadmap, BI reporting, and ExCo-facing insights on marketplace health and revenue. Prioritise delivery, stakeholder management, and translating complex analysis into clear executive narratives to inform growth investments.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead the Supply Data Science team to define strategy, optimize marketplace participant supply, and collaborate across departments to enhance efficiency and participant experience.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

The Managing Consultant will lead data science initiatives, drive business growth in financial services, and build client relationships while managing teams and delivering high-impact solutions.

The Data Science Manager will lead a team to develop AI-based logistics planning systems, optimize operations, and mentor team members. Responsibilities include integrating data science models and driving best practices.

Manage a team of data scientists to build ML systems for logistics, overseeing the entire lifecycle, mentoring, and collaborating with technical teams.

The Senior Data Science Engineer will design production-grade analytical solutions in Python, contributing to data science methods and mentoring juniors. Responsibilities include creating reusable packages and collaborating with stakeholders.

The Director of Colleague Data Science & Analytics will lead the global HR analytics function, driving innovative solutions to support decision-making and enhance the colleague experience.