Top Data Science Jobs in London

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

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.

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.

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

Manage and grow a stable of freelance creators to produce and edit high-quality written and video tutorials on data science, AI, analytics, BI, data engineering and cloud. Write content briefs, edit submissions, combine SEO keyword analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality and deadlines.

Recruit, manage, and edit freelance creators to produce high-quality written and video tutorials on data science, AI, analytics, BI, and cloud. Write content briefs, combine SEO analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality, deadlines, and payment management.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

Lead the Data Science function at loveholidays, focusing on embedding intelligence, driving commercial outcomes, and managing a high-performing data science team.

Seeking a Senior Data Science Engineer to build and deploy scalable ML systems, collaborating with teams to develop models for customer insights and personalization.

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

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.

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

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 the development of machine learning products, including designing systems, managing a team, and driving innovation in a fast-paced startup environment.

Provide methodological and statistical leadership across projects, design and deliver advanced analytics and ML solutions (including deep learning and NLP), mentor staff, manage client relationships, and drive business development in health outcomes and pharmaco-economics.

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.

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

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.

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 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.

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