Top Data Jobs in London

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

Maintain and update market data records, manage subscriptions, users and entitlements, handle invoice coding and cost allocation, support user access requests and onboarding, assist automation and process-improvement initiatives, and provide operational support for business integration projects under senior oversight.

The Senior Data Analyst will support marketing strategies through data analysis, campaign optimization, and performance measurement across channels, while translating insights for senior stakeholders.

As a Senior Data Scientist, you'll analyze data to inform strategic decisions, lead experiments, and communicate insights to diverse stakeholders at Deliveroo.

The Senior Data Scientist will lead experimentation and causal inference analysis, drive strategic insights, and enhance decision-making through data interpretation in a hybrid work environment.

Lead the design of data platforms for AML/KYC and Fraud products, shaping data systems, coaching engineers, and setting technical direction across teams.

Join Lovable as a Data Scientist to leverage analytics for business insights, analyze user behavior, and support product strategies through data-driven decisions.

The Principal Engineer will shape Masabi's platform architecture, deliver scalable services, act as a technical leader, and navigate complex platform challenges. Responsibilities include design, delivery, influencing technical decisions, and contributing to technical documentation and forums.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

Ingest, transform, harmonise and quality-control large genomic datasets (GWAS, genotypes, phenotypes). Configure pipelines, interpret QC diagnostics, investigate anomalies, curate metadata, and collaborate with engineering and science teams to expand genomic data resources and schemas.

Lead a specialist BPA data team to manage end-to-end pension scheme data for buy-in/buy-out transitions. Ensure data accuracy, validation, reconciliations, benefit specification oversight, governance, regulatory compliance, stakeholder integration, third-party data management, and drive automation and continuous improvement to support successful scheme migrations.

Build and maintain production data pipelines and systems in Python; lead technical direction for the Insights platform; improve engineering standards, observability, and data quality; apply AI across products and pipelines; help develop AI-ready data foundations such as semantic layers.

Support execution and enhancement of the Data Subject Request Processor (DSRP) platform by discovering, mapping, and integrating enterprise data sources for DSAR compliance. Coordinate with Product, Engineering, Privacy Risk Management, and business partners to document data flows, manage integration deliverables, support backlog and testing, streamline DSAR workflows, and produce product documentation and operational monitoring to ensure compliant, scalable DSAR fulfillment.

Lead and grow a high-velocity D&A software team to design, build, and deliver client-centric, scalable web applications. Drive architecture and technology choices, mentor engineers, run Agile ceremonies, perform code reviews, integrate data sources, ensure production deployments, and represent Software Solutions to internal and external stakeholders across EMEA.

Support and lead data-driven communications projects across EMEA and APAC, using NLP, statistical and ML methods to extract insights from multiple data sources, build pipelines, create visualisations and client-ready reports, and deploy AI-enabled solutions to inform reputation and communications strategy.

The Data Management Lead will oversee initiatives to improve workforce data quality, governance, and operational management, collaborating with multiple teams to establish standards and support data strategy.

Lead and deliver advanced data and AI-driven communications solutions: design and implement analytics/ML approaches, integrate multiple data sources, build pipelines and visual reporting, manage and mentor data scientists, translate technical results for senior clients, support business development and innovate tools to advance corporate communications insights.

Support analytics projects for communications and reputation challenges using statistics, machine learning and AI. Collect and analyze structured and unstructured data, build dashboards, pipelines and tools, deliver insights to clients, assist pitches, and drive GenAI/NLP adoption and data-driven decision making across the firm.

The Data Architect will transform data into a strategic asset, ensuring robust data architectures that align with business goals and drive operational excellence across Ramboll's sectors.

Lead the data science function at Fresha, building credibility and infrastructure, shipping impactful ML products, and scaling the team to align with business needs.

Work cross-functionally to design and execute data-driven strategies across pricing, promotions, forecasting, growth, credit risk, and product analytics. Build models and monitoring, evaluate new product/channel opportunities, present insights to leadership, validate deployed strategies, and mentor junior analysts to scale the business.

As a Senior Data Platform Engineer at Depop, you'll architect and build data platforms, working with various teams to enhance data capabilities, support complex business problems, and promote self-service tools while ensuring operational excellence and effective stakeholder collaboration.

The Data Product Manager owns the product plan and strategy, drives customer success, manages complex datasets, and collaborates with teams to improve data quality and product execution.

As a Data Platform Engineer, you will design, build, and maintain Azure and Snowflake data platforms, develop Infrastructure-as-Code, and support CI/CD processes while troubleshooting and improving the platform.

The Principal Consultant will shape and implement Enterprise Data Management capabilities in Financial Services, leveraging over 10 years of experience to advise clients and lead strategic projects.