Top Data Jobs in London

Build and maintain device software and data pipelines for handheld gripper data collection devices. Implement sensor integration and temporal synchronization, recording/packaging episodes, validation tooling to detect data faults, operator-facing controls, and on-site support. Debug hardware integration issues and collaborate with hardware, AI, and data teams to ensure high-quality training datasets.

Teleoperate humanoid robots to collect high-quality multimodal datasets, perform precise annotation and labeling, capture video/motion/task logs, follow strict procedures, document dataset quality, identify and escalate anomalies, and contribute workflow improvements. On-site, permanent night-shift role with hands-on interaction with robotic hardware and tools.

Lead CDP strategy and marketing activation: define consumer data model, orchestrate advanced segmentation and personalized journeys, manage end-to-end audience activation, ensure data governance and consent compliance, and enable business users to self-serve on marketing platforms.

Lead end-to-end large-scale financial services transformation programmes, manage governance, stakeholders and budgets, drive SAFe agile delivery (PI planning, backlogs), implement change management, support sales/RFPs, advise senior clients, and foster team development and adoption of digital/AI solutions.

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

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

Lead investigation and resolution of broker margin data discrepancies by validating Python pipeline outputs against internal sources. Debug raw broker files, document margin calculation logic across account types, work with Data Engineering to translate business rules into Python, escalate structural data gaps, liaise with brokers and SMEs, and maintain mapping and audit documentation.

Design, build, and optimise cloud-based data pipelines, ETL/ELT processes and enterprise data platforms for an insurance client. Integrate multiple source systems, ensure data quality and performance, support data modelling and transformation, and collaborate with stakeholders using Agile practices.

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.

Operate and monitor live sports trading systems, execute trades to meet performance targets, identify market inefficiencies, provide real-time feedback to developers and quants, troubleshoot issues, and help optimise the trading pipeline across shifts.

As a Principal Applied Data Scientist, lead the development of scalable AI solutions, focusing on NLP and LLMs, while collaborating with teams and ensuring production standards.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Curate and interpret drug discovery data from scientific papers, patents, and other disclosures. Responsibilities include interpreting chemical structures and biological data, building and maintaining databases, researching biopharmaceutical R&D, and surfacing accurate insights for scientific and industry audiences. The role requires strong data curation, patent literature, chemoinformatics, scientific communication, and attention to detail skills.

Lead development of reserving analytics by building dashboards, datasets, and self-service tools to surface trends and drivers. Partner with Reserving, Actuarial, Finance, Claims, Underwriting, and Data & Analytics to improve data quality, reduce manual work, promote responsible AI use, and present clear visualizations and governed metrics to support reserving decisions and senior stakeholders.

Design, develop and automate data pipelines ingesting transactional, social and geographic data. Build crawlers and APIs, develop algorithms and statistical models (including clustering) for large-scale graph data, and improve infrastructure and internal tools.

Analyze and process very large business datasets using data mining and analytical techniques to uncover patterns and insights. Support business decision-making by identifying problems and discovering growth or efficiency opportunities.

Design, build, and maintain scalable ETL/data pipelines and storage to support analytics and ML across international markets. Ensure data quality, compliance (e.g., GDPR), monitoring, and automation. Collaborate with data scientists, product teams, and stakeholders to deliver reliable datasets and contribute to the data infrastructure roadmap. Onsite in London.

Measure product and commercial impact using experimentation, quasi-experimental and observational causal inference. Design experiments, apply statistical and ML methods, build reusable analytics, partner with product and engineering, and communicate insights to stakeholders to support evidence-based decisions.

As Senior Product Manager, you'll manage the product roadmap, engaging with healthcare professionals and driving cross-functional execution in a high-growth tech environment.

Own and expand relationships with hyperscale, cloud, and AI infrastructure customers across Europe and the Middle East. Originate and close large-scale data center opportunities, lead complex commercial negotiations, secure contracted capacity, and shape development strategy around customer needs. The role oversees executive customer relationships, regional MW bookings, strategic account plans, and €1bn+ developments while partnering with engineering, construction, finance, investment, and legal teams. It also includes recruiting and leading a high-performing commercial organization.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

The Lead Architect, Cloud will design and implement Azure data platforms, establish CI/CD processes, and mentor engineering teams, ensuring effective architecture and technical delivery across projects.

The Client Growth Director leads business development in public sector data analytics, identifying opportunities, crafting proposals, and overseeing bid management while coordinating cross-functional teams.

The Senior Software Developer will design, develop, and optimize cloud-based low-latency data processing systems while collaborating with analysts to implement trading strategies.