Top Data Jobs in London

Lead the data strategy at Monzo, focusing on user engagement and evolving data practices. Collaborate with cross-functional teams and mentor data scientists.

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

The Data Analyst will develop data solutions, perform diagnostics, collaborate with clients, and design technical solutions as part of a team.

The Director, Data Science leads a team in developing data analytics solutions for clients. Responsibilities include project oversight, predictive modeling, and delivering actionable insights.

The Technical Consultant will manage data migrations and provide technical consultancy to ensure successful software implementations for local government clients, enhancing customer satisfaction and service quality.

The Senior Data Engineer will build and maintain data pipelines, collaborate with various stakeholders, and ensure data quality for health research.

Design, build, and optimize data pipelines for analysis and machine learning. Collaborate on data infrastructure, ensure data quality, and support model deployment.

The Customer Data Analyst will track and analyze customer usage metrics to enhance product-led growth, anticipate churn, and refine pricing strategies, while creating intuitive dashboards and frameworks for actionable insights.

The Staff Data Engineer will create a scalable data platform, implement data strategy, improve operational practices, and collaborate across teams.

Manage relationships with 25-30 members, assist clients in achieving priorities using Gartner assets, provide tailored service solutions, and oversee member lifecycle activities including retention and growth strategies.

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.

As a Principal Data Engineer, lead the design and development of high-performance data systems, ensuring reliability and scalability while leveraging Apache Kafka and cloud technologies.

The Channel Systems Engineer will support and train channel partners, ensuring effective positioning and delivery of VAST solutions while providing technical leadership and enabling business growth.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Marketing Data Analyst analyzes data to support marketing initiatives, presenting insights, maintaining data integrity, and collaborating across teams to optimize digital ad efforts.

As a Senior Data Engineer, you will design and maintain data systems, write complex ETL processes, and support machine learning models while collaborating closely with data science and web development teams.

The Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

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.

Support Yonder Researchers in market research projects with data delivery, reporting, analysis, and skill development, while assisting in qualitative and quantitative research tasks.

As a data intern, you will analyze impact data, support data management processes, and assist in reporting and dashboard development for impact measurement projects.

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.

The Senior Data Manager will oversee clinical trial data management, collaborating with product teams and ensuring high-quality data processes across multiple trials.

As a Graduate Data Scientist, you will contribute to developing products for fraud detection and automation, handle various data types, and work closely with clients.

The Account Manager will manage client relationships, providing data-driven insights and analysis for crisis management and reputation protection, ensuring client needs are met with actionable recommendations.