Top Data Science Jobs in London

The Business Analyst will work on Claims projects, focusing on process improvement, requirements gathering, and stakeholder management to drive business change.

As Executive Director of Toxicology, you'll lead a team at the intersection of Discovery and Development, guiding safety studies and integrating innovative approaches alongside data science and AI to advance drug development.

The Data Architect will define and deliver data models, ensure alignment across key data entities, and support data governance efforts using various tools.

As a Data Science Managing Consultant, you will lead business development, manage teams, and deliver data-driven solutions in the transport sector, while coaching junior staff and contributing to thought leadership.

As a Senior Specialist Solutions Architect, you will guide customers in developing production-grade ML applications, provide technical support, and mentor others while leveraging data science and ML skills.

The Principal Services Solutions Consultant drives sales growth by partnering with clients, leading pre-sales activities, and delivering technical solutions. Responsibilities include managing projects, providing technical leadership, and ensuring client needs are met.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The Product & Innovation Manager will lead product strategy, collaborate with cross-functional teams, and innovate data-driven solutions for market-leading brands.

Lead AI transformation programs in the media industry, driving the adoption of AI technologies and developing new AI products to enhance client strategies and operations.

As a Senior Product Manager, lead the development of innovative AI products for the Life Sciences sector, manage complex portfolios, and foster growth opportunities.

The Global Product Marketing Manager will enhance the adoption of the MiQ Sigma platform, ensuring ease of use, effective onboarding, and client retention through strategic initiatives and collaboration across teams.

Lead the integration of AI and machine learning in GTreasury's SaaS platform, transforming cash forecasting and risk management. Define AI vision, collaborate with teams, and ensure product usability.

Lead the credit strategy and analytics function, focusing on credit risk management, advanced model deployment, team leadership, and cross-functional collaboration.

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.

This program offers women in their first year of a tech-related degree an introduction to technology consulting through workshops, case studies, and networking opportunities, aiming to fast-track into internships or placements at PA Consulting.

As a Senior Software Engineer I on the Flywheel team, you will develop intelligent workflows, collaborate with Customer Success reps, and contribute to backend and full stack systems.

The Director of Data Science will lead a team focusing on AI and ML technologies to enhance customer experience through financial services. Responsibilities include strategic leadership, team development, cross-functional collaboration, and innovation in ethical AI practices.

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 Lead Product Manager, you will oversee product strategy and delivery, lead teams, solve complex problems, manage projects, and build relationships with stakeholders in the financial services sector.

Seeking a Senior Data Science Manager to lead FP&A, drive analytics, build models, and support strategic decision-making across the company.

The Principal Product Manager for Data Innovation will define and execute product strategy for synthetic data and collaboration products, ensuring commercial success and alignment with stakeholders, while leading complex product development initiatives.

The Senior Director, Brand Economics will lead the Global Brand Economics practice, focusing on growth and delivering innovative branding solutions for clients through data analysis and team management.

As VP of Translational Computational Biology, you'll drive strategy to link data from -omics platforms with genetics, guiding teams to identify biomarkers and enhance drug development.

Lead AI solutions for financial services, identifying customer needs, driving innovation, and collaborating with teams to implement AI projects.

As a Partner Solutions Architect, you will develop executive relationships with partners and help customers achieve data-driven outcomes using the Databricks platform, focusing on data engineering and AI.