Top Data Jobs in London

The VP Growth will lead initiatives to acquire new business, manage a sales team, enhance customer relationships, and drive revenue growth in the EMEA region.

Contribute to product vision by designing metrics, conducting experiments, productionizing data workflows, and collaborating across teams to leverage customer insights effectively.

The Senior Data Engineer will design and build scalable, high-performance data pipelines, integrating data sources for real-time analytics while collaborating with cross-functional teams.

Lead and coordinate multi-disciplinary teams for data centre projects, ensuring design excellence and client satisfaction across multiple phases and locations.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

Lead the Data Centre team, ensuring project delivery, client management, and technical excellence in mechanical services. Drive business development and project oversight across EMEA.

The Data Analyst will assist in building pricing models and management information dashboards, support data manipulation, and collaborate with teams to enhance data visualisation and quality.

The Data Onboarding Technician will engage with customers and implementation teams to drive data conversion tasks and ensure smooth onboarding to ezyVet's software. Responsibilities include monitoring conversions, prioritizing tasks, and maintaining project tools like Jira.

Design and deliver enterprise-level data solutions using Azure tools and SQL analytics, focusing on data insights and customer satisfaction.

Own the end-to-end data quality issue lifecycle, lead offshore analysts, liaise with UK stakeholders, partner with IT/Operations for fixes, drive preventive data quality improvements, and produce governance-ready reporting and dashboards.

Maintain and QA daily multi-factor risk models, quantitative indices, and multi-asset data analytics. Monitor markets and corporate events, analyze large financial datasets, support client inquiries, streamline data production processes, and collaborate with global teams to ensure accurate index and data product delivery.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

As a Data Architect, you will define data architectures for client programs, driving data and AI transformations, and crafting secure and scalable data solutions across various technologies.

The Senior Data Scientist will develop and deploy machine learning models for underwriting and customer management within Lendable's UK credit cards business, utilizing large datasets to influence strategy and drive performance.

This role involves building and maintaining data infrastructure, dashboards, and pipelines for analytics to support growth and product teams at Aave Labs.

Surgo Health seeks a Senior Product Manager for AI and Data Products to define product strategy, lead product initiatives, and collaborate with cross-functional teams. The role emphasizes building AI-driven solutions in healthcare and requires strong product management skills with a technical background.

Lead the development and validation of predictive machine learning models for Surgo Health's BehavioralPulse™ product, integrating new data sources and ensuring scientific rigor across healthcare applications.

The role involves client-facing responsibilities in technical configuration, data extraction, engineering, science, and deployment of analytics solutions, requiring effective communication and project management skills.

Support the Actuarial pricing team in data transformation projects, testing pricing models, data development, and analytics using various tools and technologies.

As a Senior Software Engineer (Data), you’ll shape and scale data infrastructure, develop tooling, ensure platform security, and optimize CI/CD pipelines for enhanced analytics efficiency.

The Data Scientist role involves developing machine learning models for credit card business, working with large datasets, and collaborating with various teams to influence growth and profitability.

The Senior Data Platform Engineer role involves end-to-end project ownership, problem-solving, and delivering scalable data solutions. You'll collaborate across teams to shape data interactions, ensuring efficient analytics with a focus on reliability and security.

The CRM Data & Audience Lead designs audience strategies, optimizes segmentation logic, partners with Data Science, translates data into insights, and enhances audience frameworks for personalized marketing efforts.

The Data Science Manager leads a team to deliver analytics and machine learning solutions, translating business needs into data science problems, ensuring scalability, and fostering a culture of collaboration and growth.

The Senior Data Engineer will design and implement scalable data pipelines in Azure, collaborate with teams to improve data quality and accessibility, and drive standardization across data practices.