Top Data Science Jobs in London

The Machine Learning Engineer will design, develop, and deploy scalable ML models for cyber threat intelligence, collaborating closely with data scientists and analysts to enhance cybersecurity measures.

As a Software Engineer at Cloudflare, you will build and operate software to enhance Internet performance and security, focusing on distributed systems.

As a Senior Lead AI Solutions Consultant at Braze, you will drive revenue by promoting the AI portfolio, conducting demos, and educating stakeholders about AI applications in customer marketing.

The Head of Fraud at Teya will lead fraud prevention strategies, oversee fraud risk frameworks, and manage fraud operations teams while ensuring regulatory compliance and customer trust.

Lead the acquisition and growth strategy for medium-sized advertisers by launching business development programs, analyzing data, and collaborating across teams.

As a Vice President, Data Scientist, you will develop AI solutions, integrate analytics models, and optimize processes to enhance business operations.

The Senior Product Manager will lead fraud prevention strategies, develop real-time fraud controls, and enhance Wise's response to emerging financial threats while collaborating with various teams.

As a Data Science Senior Associate, you'll enhance investment processes through natural language and machine learning solutions, collaborating with stakeholders to innovate and optimize operational efficiency.

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

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

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

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 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 Solution Design Associate Director will translate business challenges into innovative solutions, lead technical teams, and enhance business operations through strategic design and project management.

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 Senior Director of Data Science leads analytics strategy, manages a global data science team, and influences game development and marketing through data insights and experimentation.

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.

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

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

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.