Top Data Jobs in London

As a Senior Systems Engineer, you'll assist customers with installations, define product requirements, and lead sales strategies for storage solutions.

Join the insights team as a Data Scientist to enhance Spotify's consumer experiences through data analysis, collaboration, and innovative product features.

As a Data Engineer, you will design, implement data infrastructure, develop pipelines, and ensure data integration across multiple sources while maintaining communication with stakeholders.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

The role involves driving revenue through technical guidance, conducting workshops, designing technical architectures, and consulting on DataOps solutions for clients in various industries.

As a Product Data Scientist at Depop, you will analyze user behavior, influence product strategy, and design experiments for data-driven decision making across teams.

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.

The Data Engineer will own and scale data infrastructure for managing petabyte-scale datasets, build feature stores, process data for ML models, and ensure data versioning and correctness.

The Role involves enhancing ML pricing models, supporting adaptive experimentation, developing impactful data science products, and translating complex ideas for non-technical stakeholders.

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.

The Global Head of Privacy & Data Protection leads the privacy program at Kraken, ensuring compliance with global data security obligations and integrating privacy best practices across the organization.

The Data Analyst will analyze data sets, model trading strategies, build simulation models, and communicate insights to stakeholders, enhancing product strategies for energy flexibility.

The Associate Director Development oversees new market site development, leading strategic planning, project management, and resource allocation for data centers. Responsible for execution readiness and financial returns, this role involves collaborating with various departments, managing stakeholder relationships, and representing the company to external partners.

The role involves building, deploying, and evaluating machine learning models for fraud detection, requiring collaboration and strong analytical skills.

The Specialist Data Engineer is responsible for designing and maintaining ETL/ELT pipelines, optimizing data models, and implementing CI/CD solutions within a cloud-first data architecture.

Lead the Infrastructure Modernization campaign, manage sales enablement, track performance, collaborate with partners, and support regional teams.

The Frontend Software Engineer will build advanced AI tools for scientists, focusing on front-end design, user interface, and data visualization for scientific applications.

As a Core Data Engineer, you will manage the lifecycle of data products, ensuring high-quality data delivery, developing pipelines, and collaborating across teams.

The Senior Data Scientist at Zopa will lead projects in data modelling and machine learning, engaging with stakeholders to influence business decisions.

Analyze People data to provide insights, build and maintain data products, and foster a data-driven culture within the organization.

Lead the development of the Fusion Data Management Platform, advocate for product capabilities, and collaborate across teams to drive strategic initiatives.

Lead Data Engineers at Thoughtworks manage data engineering projects, design technical solutions, and collaborate with stakeholders while ensuring data governance and security.

The role involves managing and analyzing investment risk data, developing risk analytics, automating processes, and collaborating with stakeholders.

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

The Data Architect will design and manage data architecture, ensuring it meets requirements while guiding teams on best practices in genomics-related data management.