Top Data Science Jobs in London

The Head of Data Science will lead strategy, innovation, and excellence in data science, integrating analytics and econometrics to drive marketing effectiveness and client growth. Responsibilities include developing a Centre of Excellence, overseeing data infrastructure, and influencing C-suite decision-making.

The Head of Data Science leads the strategic direction of the Data Science Centre of Excellence, driving innovation, developing methodologies, and ensuring client engagement to enhance media effectiveness and business performance.

Lead and architect AI research for cybersecurity, recruit and mentor data science teams, design and deploy LLM and deep learning systems to production at scale, set technical strategy and represent CrowdStrike in research and thought leadership.

As a Senior Data Product Manager, you'll shape data product strategy, collaborate with technical teams, and drive measurable business outcomes through data-driven solutions.

Lead the lifecycle of analytics and AI products, aligning them with business strategy and managing cross-functional teams to deliver user-focused solutions.

The role involves collaborating with sales teams to solve complex customer data challenges using Snowflake technology, presenting to various audiences, and developing technical strategies for customer success.

Define and implement the long-term vision and strategy for AI/ML platforms, collaborating with various stakeholders to enhance AI capabilities and ensure high standards of user experience.

The Scientific Editor will evaluate submissions, build networks for contributions, and collaborate on journal strategy to enhance impact.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

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.

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.

Analyze data for cross-functional GTM initiatives, providing leadership in decision frameworks and insight development for strategic programs.

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.

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

Lead the Data Science initiatives within Customer Support, focusing on automation using NLP and applied AI. Collaborate cross-functionally to improve processes and enhance customer experience.

The Head of Natural Catastrophe Risks leads strategic oversight of natural catastrophe modelling, facilitates R&D, represents SCOR in the industry, and drives stakeholder engagement to enhance business development and risk assessment strategies.

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

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.

The Director of Internal Audit at Robinhood manages audits across various entities, focusing on governance, risk management, and compliance in a regulated Fintech environment.

Lead the curriculum product strategy and a team of Product Managers, retain hands-on ownership of high-impact products, collaborate with cross-functional teams, and drive AI/data-driven product development and adoption through the full product lifecycle.

The Insight Experience for Women at NatWest Markets offers a one-day immersion into Quantitative Analytics, allowing participants to learn about the business, develop skills, and explore internship opportunities.

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.

Lead decision science and credit models while driving improvements in credit performance, policy, and strategy. Produce insights for risk monitoring and product pricing.

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.

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.