Top Data Science Jobs in London

The Trader role involves managing trading systems, collaborating with developers, solving practical problems, and optimizing trading processes in a fast-paced environment, requiring availability for various shifts.

As the Director of Product Marketing, you will lead the strategy for positioning, pricing, and packaging products while managing a team and collaborating cross-functionally to increase user acquisition and engagement.

As a Staff Machine Learning Engineer, you will develop ultra-realistic AV simulations using foundation models, collaborate with various teams, design experiments, and integrate large models into simulation products.

Lead and develop a Data Science team to deliver scalable ML/AI solutions for an online Personalisation programme, ensuring impactful customer experiences.

The Senior/Staff Product Manager will drive strategy and execution for a marketplace, optimizing partner experience and enhancing scheduling processes through data-driven insights and cross-functional collaboration.

The Senior Manager, Courier Marketing will optimize media budget, lead media buying strategy, and design testing frameworks to drive Courier Acquisition growth.

The Senior Product Owner (Data / AI) will be responsible for leading the development of data-driven product domains, collaborating with analytics and AI teams, defining product strategies, and ensuring the execution and delivery of data & AI product features.

As VP of Engineering and Data, you'll lead a growing engineering team, oversee AI initiatives, grow the data function, and ensure alignment with product and business outcomes.

In this pre-sales role, you will leverage AI and NLP expertise to design solutions for clients, coordinate with teams, present customer proposals, and ensure successful project implementation.

Join Waymo to enhance AV simulations using deep learning. Collaborate globally, design metrics, train models, and hire diverse engineers.

The AI Deployment Strategist will drive AI adoption and deployment in industrial enterprises, collaborating with clients to design AI roadmaps, integrating AI into workflows, and ensuring customer success while navigating IT compliance and security constraints.

The AI Product Manager will own the product lifecycle for AI assets, translating business needs into requirements, driving adoption, and managing delivery timelines in collaboration with data scientists and commercial teams.

The manager role involves overseeing partnerships, developing measurement strategies, translating data into insights, and fostering client relationships within sports and entertainment.

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

The role involves guiding the Data Science team to develop search and recommendation systems, working with commercial teams to deliver user-focused products, and managing multiple projects related to data science implementation.

As a Principal Machine Learning Engineer, you will design and develop scalable AI solutions, influencing company strategy and providing authoritative guidance on complex projects in the financial sector.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

The role involves strategic leadership in expanding market share, managing teams, maintaining client relationships, and overseeing sales activities in the EMEA region for biopharma clients.

Lead a marketing science team to design and deploy advanced econometric and predictive models (MMM, Bayesian, ML) for media measurement, build scalable analytics frameworks, manage stakeholders, and drive methodological innovation and team development to optimize campaign performance.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

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

Serve as the Data Science Director's right hand to prioritise work, remove blockers, run model monitoring and change control, coordinate deployments, manage cross-team dependencies, run hiring and onboarding, and prepare decision-ready materials for senior stakeholders to ensure disciplined, fast delivery of credit and decisioning models.

Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.

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

The Senior Product Manager will lead the strategy for Paid Propositions, focusing on customer retention and growth by designing propositions and improving customer experiences, collaborating with cross-functional teams, and utilizing data insights.