Top Data Jobs in London

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 Staff Data Analyst, you will develop strategic insights for key product domains, lead analytical investigations, own impact modeling, and ensure alignment of metrics with company goals. You will partner with senior stakeholders to influence strategy and elevate analytical standards across teams.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

The Market Data Specialist will improve data quality in the Security Master and Corporate Action Management systems, troubleshoot issues, and interface with data providers.

The Data Analyst II will build and maintain datasets and data pipelines for performance optimization, investigate performance data, create dashboards, and communicate insights to stakeholders.

As a Backend Engineer in the Data Platform, you'll design and build scalable data processing infrastructure, improve developer tools, and enhance system reliability and performance while collaborating with various teams at Spotify.

The Senior Data Analyst will lead reporting efforts, ensure data quality, collaborate with teams, and drive automation in data processes.

The role involves developing go-to-market strategies for VAST Data within the UK Defence & Secure Government sectors, building relationships with key stakeholders, identifying and closing strategic sales opportunities, and representing the company at industry events.

Lead and develop engineering capabilities across integration, data, and Generative AI. Responsible for strategic direction, team leadership, and governance in a regulated environment.

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

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

As a Principal Data Analyst at Airalo, you'll drive product analytics by defining success metrics, designing experiments, and analyzing user behavior to influence product strategy and connect metrics to revenue outcomes.

The Senior Data Privacy Analyst will support data protection culture, analyze data for privacy trends, streamline processes with Power BI, and ensure compliance through reporting. Responsibilities include enhancing privacy processes and engaging with stakeholders.

The Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

The Platform Data Analyst will enhance visibility and performance optimization of Runware's media AI platform through analytics, monitoring, and reporting. Responsibilities include tracking performance, building dashboards, and collaborating with engineering and DevOps teams to improve observability and reliability.

The Data Steward will manage data quality and governance initiatives, ensuring data accuracy in Salesforce and other business systems. Responsibilities include improving data hygiene, defining governance practices, driving system improvements, and collaborating with stakeholders on data-related queries and reporting.

The Subsurface Data Manager ensures data integrity, compliance, and accessibility for subsurface data, supports exploration teams, and oversees data management processes and quality control.

As a Palantir Data Consultant, you will analyze business needs for data solutions, facilitate workshops, and manage stakeholder engagement, ensuring delivery in agile environments.

The Data Engineer Lead will oversee a team of Senior Data Engineers, shape engineering standards, and deliver high-quality data solutions using Azure technologies.

This role oversees the data engineering strategy at Sony Interactive Entertainment, driving initiatives across Player, Partner, and Enterprise data domains, ensuring high-quality, scalable data products that inform decisions and optimize operations.

The Data Solution Architect will lead the design and implementation of data solutions, advocate for data-centric practices, ensure data privacy, and collaborate across teams to improve data ecosystems.

The Senior Data Scientist will focus on quantitative analysis, guide A/B tests, and collaborate with teams to enhance user engagement and product profitability.

The Senior Product Owner (Data / AI) will be responsible for leading the development of data-driven product domains, collaborating with analytics and AI teams, defining product strategies, and ensuring the execution and delivery of data & AI product features.