Top Data Jobs in London

The Data Strategy & Analytics Lead directs data strategies in immunology, integrating clinical and operational data into decision-making while managing a team and partnering across functions to enhance data governance and quality.

Lead Deliveroo's pricing and value strategy, overseeing data-driven decisions and managing multiple data science teams while ensuring sustainable growth and customer trust.

Develop and maintain data platforms for quantitative finance, focusing on performance, reliability, and scalability while collaborating with researchers and engineering teams.

The Senior Data Analyst will drive insights from data, optimize data architecture, enhance reporting tools, and monitor performance to influence growth. They will collaborate with global teams and need strong analytical skills, particularly in SQL and Python.

Lead the global Market Data function, define and optimize the market data strategy, and develop the Market Data team for business value.

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.

The role involves managing data management, AI, and analytics audits, providing advisory services, developing governance frameworks, and driving business growth in financial services.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

As a Senior Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

The Data Analyst role involves developing automated reporting workflows, analyzing media quality, and providing insights to clients. Responsibilities include SQL querying, Excel modeling, and collaboration with teams to ensure data accuracy and deliver insights.

The AI Data Engineer designs and builds scalable data pipelines, integrates AI services, and ensures data readiness for advanced analytics across Convatec's Azure ecosystem, collaborating with AI Engineers and Data Scientists.

As a Product Data Analyst, you will analyze data to drive product strategy, monitor performance, and support product teams in optimizing features and user experiences.

Lead teams in foundational AI research, focusing on ML and NLP development. Innovate and share technical findings in AI model training, collaborating with global experts.

As a Senior Data Engineer, you will design and maintain scalable data architectures, build data pipelines, optimize SQL performance, and mentor junior engineers while collaborating with data scientists to enhance data workflows.

Oversee the build and maintenance of data centres, coordinate installations, ensure standards compliance, design solutions for observability, and automate workflows.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

Design and maintain large-scale cloud infrastructure for data accessibility and reliability in autonomous driving technologies. Collaborate on engineering projects and mentor juniors.

As a Senior Software Engineer, you'll build a full-stack platform for subscription apps, optimize data pipelines, and lead technical projects.

As the first data scientist, you'll develop machine learning systems, optimize ad spend, and transform client-specific models into automated pipelines, collaborating directly with the CTO and founders.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

As Director of Software Engineering, you'll lead and scale teams to develop platforms and APIs for AI and HPC infrastructure while collaborating with cross-functional teams. Responsibilities include defining engineering strategy, delivering scalable solutions, and maintaining technical excellence in modern software practices.

The Director of Product will develop and execute the product roadmap for AI and HPC, driving innovation and collaboration across teams. Responsibilities include scaling infrastructure, expanding service offerings, and engaging with customers and partners.

As a Senior Data Scientist, you will drive insights and strategy for product teams, contributing to goals, conducting analysis, and supporting product experiments to enhance business outcomes.