Top Data Science Jobs in London

Lead multiple data science and application development projects across the data science lifecycle. Design, build, test and deploy scalable, secure AI/ML and generative AI systems on-premises and on GCP. Manage and coach team members, engage stakeholders, produce documentation and testing artefacts, support end users, and translate data science into measurable business value for Group Audit.

Kittl is seeking candidates for engineering and product roles within graphic design. The company is looking for driven individuals who are passionate about innovation and willing to take ownership in their work.

The Principal RWD Strategy Lead develops and implements RWD strategy for client projects, manages data relationships, and mentors junior team members. The role requires strong analytical skills and experience in clinical research, complying with regulations.

Lead and develop a high-performing team of data scientists focusing on acquisition and retention strategies, while shaping the overall data science direction for the company.

As a Senior Data Science Engineer, you will design production-grade analytical Python solutions, collaborate cross-functionally, and mentor junior team members. Responsibilities include building reusable Python packages and processes for research and visual dashboards.

The Data Science Director will lead a team in developing predictive models, optimizing media investments using AI/ML techniques, and improving analytical solutions for clients.

The Executive Director of Data Science will oversee the SDLC processes, mentor a skilled team, drive a global data science vision, and ensure high-quality AI solutions are implemented effectively.

The Senior Producer will lead Game Integrity initiatives for MONOPOLY GO!, focusing on fairness, stability, and efficiency in game systems, partnering with various teams to ensure effective project delivery.

Lead a team of Data Scientists and Analysts at Monzo, driving product innovation in Payments through data insights and strategy. Collaborate with Product and Engineering teams to enhance the customer experience and support global expansion efforts.

Lead the Discovery Data Science team at Genmab, developing strategies that integrate computational methods, ML/AI into drug discovery, and managing team performance and collaborations.

Lead the application of data science and modeling techniques to enhance pricing and predictive modeling capabilities in the insurance sector, collaborating closely with stakeholders and delivering actionable insights.

As Data Science Manager, you will lead a team of data scientists, shaping models that impact logistics operations and contributing to strategic decisions.

Lead the data science organization to deliver AI products, mentoring teams and executing a strategic vision for machine learning applications.

As a Data Engineering & Data Science Consultant, you will design and implement data and analytics solutions, collaborate with clients, and apply machine learning techniques to business challenges.

Lead a team of Forward Deployed Data Scientists to drive AI adoption and data-driven solutions for strategic customers, enhancing support operations.

As a Data Science Apprentice, you will develop data-driven solutions alongside experts, gaining hands-on experience in data analytics and AI technologies.

Analyze large datasets to tackle business challenges in gaming using machine learning. Collaborate with teams to implement data-driven strategies and deliver insights.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

This role invites speculative applications for various tech positions. Candidates with skills in Salesforce, DevOps, AWS, and user experience are encouraged to apply.

Manage and mentor Data Scientists in Payment Intelligence, oversee ML models for payment decisions, and guide strategic roadmaps while collaborating across teams.

Lead the Data Science and Decision Systems teams, shaping strategy and mentoring while focusing on credit risk and collections models, and transitioning towards broader business objectives over time.

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

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

As a Data Science & Marketing Effectiveness Intern, you will analyze data, build marketing models, and gain consulting experience over a 6-month period.

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.