Top Data Jobs in London

Responsible for designing and maintaining data pipelines, collaborating with teams for data quality, and developing engineering solutions using various tools and technologies.

Manage and transform data assets, develop ACR data strategy, ensure data governance, oversee data product management, and lead a product management team.

The Senior Data Engineer will develop API strategies, build data pipelines, enhance data quality, and influence technical direction for the data platform.

The Senior Product Manager will lead AI, analytics, and data initiatives, managing teams to build insights and infrastructure for global commerce.

The Data Architect will design and build scalable data solutions, ensuring data integrity and supporting real-time business intelligence for enterprise customers.

The Data Analyst will manage and report company performance metrics, analyze cross-functional data, and improve data quality while responding to ad-hoc queries. They will create and maintain reports, focusing on accuracy and regulatory compliance.

As a Principal Engineer, you'll lead the design and development of high-performance data systems, mentor engineers, tackle complex challenges, and ensure operational resilience in a dynamic environment.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

As a Senior Web Data Scientist, you'll work with web leads, measure outcomes, implement A/B testing, and mentor junior staff to enhance product strategies and lead volumes.

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

The Data Scientist will build predictive models for customer lifetime value and engagement, using machine learning to analyze player behavior and business needs, and ensuring collaboration across teams.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

The Senior Paralegal will manage data protection queries, conduct impact assessments, create guidelines, and ensure compliance with data protection laws.

As Legal Counsel for Data Privacy, you will provide expert legal advice on data protection laws, conduct DPIAs, manage privacy risks, and collaborate with various teams to ensure compliance.

The Senior Software Engineer will enhance product features, support team members, and improve software quality and scalability using .NET and Azure technologies.

The Software Architect will analyze existing systems, define architectural solutions, build secure cloud-based solutions, and enable better data interaction for customers.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

The Data Mentor provides technical support and feedback to apprentices, ensuring high standards in teaching, learning, assessment, and learner progression monitoring.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The Data Scientist will transform business questions into measurable analytics, build and deploy data models, and collaborate with commercial teams to drive insights.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.