Top Data Science Jobs in London

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

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

The Enterprise Account Executive will drive new client acquisition, develop sales pipelines, and close business deals by partnering with clients and understanding their needs.

The Senior Product Manager will define and execute the strategic roadmap for real-time data capabilities, enhancing customer cloud management through insights and response tools.

As a Staff Product Researcher, you will lead user research projects, influence product strategy and design, and mentor other researchers. This involves conducting studies using both qualitative and quantitative methods and collaborating with cross-functional teams.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

The Product Director will lead the strategic vision for a new media platform, overseeing architecture, cross-functional alignment, and establishing partnerships to ensure commercial impact and user-centric design.

As a Senior Product Manager, you'll lead interdisciplinary teams to deliver AI products, manage complex projects, and build relationships with stakeholders in financial services.

The Managing Consultant will lead data science initiatives in financial services, develop client relationships, and drive business growth through innovative AI solutions.

The Senior Analyst will develop vertical solutions, support international projects, collaborate with teams for strategic recommendations, and assist with operational tasks including ad-hoc data analysis and client communication.

The Machine Learning Engineer will design and build ML pipelines, integrate models for simulations, and interact with customers to enhance engineering solutions.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The role involves managing data science teams, guiding their development, leveraging data for strategic decisions, and ensuring high performance in a dynamic environment.

Lead a team of data scientists to develop data-driven solutions for supply chain efficiency. Implement machine learning techniques and mentor team members.

The Head of Data & AI leads initiatives in data and AI, focusing on remediation, governance, infrastructure development, and collaboration with various teams to ensure ethical AI use and data-driven decision-making.

The Data Science Intern will clean and analyze data, build exploratory notebooks and models, and collaborate on ML prototypes to influence product design.

The Data Science Manager will lead teams of Data Scientists to develop machine learning solutions, solve business problems, and influence client teams. Responsibilities include coding, analytics, and presenting insights to senior leadership.

The Data Science Leader will drive innovative solutions using advanced statistical models and machine learning to enhance R&D operations, collaborating with teams to develop robust data-driven strategies.

The Data Science Intern will support analytics projects, model configuration, deployment, and gain exposure to data science in advertising technology.

As a Digital Data Science Apprentice, you will work with experienced teams to understand client needs and develop data solutions, gaining hands-on experience in analytics and AI.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Lead a team of Data Scientists and Analysts at Monzo, driving product innovation in Payments through data insights and strategy. Collaborate with Product and Engineering teams to enhance the customer experience and support global expansion efforts.

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

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

The Data Analyst role focuses on using analytics, AI, and automation to improve operations at Lendable. Responsibilities include demand analysis, KPI framework development, and collaborating with operations leadership.