Top Data Jobs in London

As a Senior Data Engineer at Simple Machines, you'll lead the design and build of cloud-native data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to deliver effective data solutions.

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

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.

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.

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.

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.

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.

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.

Customer-facing technical leader owning long-term technical success and value realization for strategic enterprise accounts. Architect and lead implementations, migrations, and scalable cloud-native deployments; build joint success plans; monitor adoption and health; partner with Sales, Product, and Engineering; and provide technical guidance, reference architectures, and feedback to drive predictable expansion and customer outcomes. Travel to customer sites as needed.

Collaborate with users to define application requirements, develop and test code, support project delivery, analyze time-series data, and mentor juniors.

The role involves designing and implementing Master Data Management solutions, assessing enterprise data domains, and defining governance structures, requiring strong consulting skills and Azure expertise.

Leads the Payments data strategy and partners with Product, Engineering, and Design to shape payment products, commercial optimization, customer growth, metrics, architecture, and operating models. Builds and scales a high-performing, full-stack data organization spanning data science, analytics engineering, machine learning engineering, and analytics. Serves as a trusted Payments Leadership partner, translating technical, product, and commercial perspectives into high-impact decisions.

Leads the EMEA Global IP Network sales organization, driving new recurring revenue, strategic account growth, renewals, upgrades, and team quota attainment. Manages sales representatives, supports complex deals, coordinates with Product, Engineering, Operations, Finance, Marketing, and affiliates, and reports sales activity and trends to senior leadership. The role also develops sales processes and training, addresses performance issues, and requires domestic and international travel.

Build and support large-scale data infrastructure and datasets for Spotify’s user behavior data. Design data architectures, develop collection and processing systems, and improve reliability, scalability, and usability. The role supports personalization, recommendation systems, and internal data teams while requiring collaboration across product and engineering disciplines.

Provide senior advisory and technical guidance for a foundational enterprise data program in financial services. Govern data mart modeling, schema and semantic-layer decisions; establish data science, reproducibility, documentation and data quality standards; assess analytical readiness; sequence remediation; advise on AI governance; and upskill FP&A and data engineering teams.

Design, build, and evolve production-grade trading platforms and data-serving services. Optimize performance, throughput, and efficiency at scale while improving reliability, testing, automation, code quality, and observability. Participate in production support rotations, troubleshoot incidents, and drive operational improvements across distributed data systems.

Build, ship, and maintain production data science models for attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Independently select modelling approaches, debug code, collaborate with QA, communicate with clients as a modelling expert, use AI tooling and automation, and mentor junior colleagues.

Develop and maintain data science models for marketing measurement products, including attribution, forecasting, optimization, and experimentation. Own analytical investigations, model backtesting, production bug fixes, and pipeline work. Write and review Python and SQL production code, debug unfamiliar repositories, use AWS and QA tooling, and communicate findings to clients and colleagues. The role also involves applying machine learning methods, reviewing AI-assisted code, clarifying requirements, and progressively taking ownership of technical areas.

Own and optimise the support queue and operational health of the data management platform. Investigate and resolve complex data pipeline and quality issues, lead client onboarding/configuration, coordinate cross-functional stakeholders, drive incident prevention and platform reliability, and mentor junior team members while ensuring data governance and secure user access.

Lead enterprise data product strategy, governance, lifecycle and adoption. Orchestrate cross-domain prioritization, manage dependencies, own roadmap and demand intake, and engage senior stakeholders to drive value and alignment across Data, IT, and business domains.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.