Top Data Science Jobs in London

As a Senior Product Manager, you will analyze complex datasets in life sciences, translating insights into actionable strategies, collaborating with teams, and applying data science techniques to enhance product offerings.

The Data Science Lead will build and lead a data science squad, focusing on recommendation models that drive commercial outcomes, patient experiences, and product discovery.

As a Senior Manager of Data Science at eBay, you will lead analytics strategy across domains, drive data science initiatives, and establish standards for analytics related to the eBay Live platform, enhancing buyer and seller experiences.

The Head of Data Science will lead a team of Data Science Managers, drive product strategy and experimentation, and collaborate across functions to enhance data capabilities and insights.

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

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 Data Science Lead builds Chaucer's data science capability, driving advanced analytics and AI solutions while mentoring others. This hands-on role may evolve into leadership.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

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.

This internship involves data analysis, validation, and campaign optimization, while collaborating with stakeholders to enhance product performance.

As a Manager in Marketing Mix Modelling, you will lead analytics projects, manage client relationships, and provide actionable insights for marketing strategies while navigating complex data.

Design and build simulation models to enhance data science products, driving smarter business decisions and continuous improvement, while collaborating with cross-functional teams.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

Develop and support reusable Python packages for data science solutions, build processes and tools, and work with machine learning techniques.

The DataOps Engineer will manage data architecture, ingestion processes, and operational support for market data platforms, optimizing for performance and scalability while liaising with commercial teams.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.