Top Data Jobs in London

Lead data product strategy for Global Markets, defining semantic layers and data products across client, trade, market and risk domains. Drive adoption of governed data, partner with stakeholders to set roadmaps and OKRs, translate business needs into production-grade data, analytics and AI solutions, and ensure governance, lineage, quality and regulatory compliance.

Develop and improve data science and machine learning models for marketing and consumer insights, including attribution, personalization, forecasting, experimentation, and marketing measurement. Prepare datasets, define evaluation metrics, support model deployment, and generate insights from media, pricing, promotions, and syndicated data. Collaborate with product owners, data engineers, and machine learning engineers; contribute to responsible AI governance, code reviews, reusable AI assets, and mentorship of junior team members.

Develop and manage machine learning and statistical models for marketing, commercial, and digital applications. Prepare datasets, evaluate model performance, support deployment, and oversee retraining and monitoring. Apply forecasting, causal inference, Bayesian methods, optimization, experimentation, and multivariate testing to generate business insights. Collaborate with product, engineering, and business teams, contribute to reusable AI foundations, review code, mentor junior data scientists, and promote responsible AI governance.

Join Isomorphic Labs as a Software Engineer focusing on data services. Collaborate with scientists and ML researchers on software platforms, enhancing drug discovery through data engineering and service-oriented architectures.

Lead Tesco-specific data strategy, architect audience and platform integrations, drive use of Open Intelligence, InfoSum and Agentic AI, ensure GDPR-aligned governance, and manage a team delivering analytics, predictive models and activation across media and owned channels.

As a Senior Azure Data Engineer, you'll design and deploy data engineering pipelines using Databricks on Azure, collaborate with clients, and implement best practices in a consulting environment.

Lead architecture and delivery of data solutions on Databricks within Azure, ensuring best practices in data pipeline design and implementation.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.

Design and build cloud-based data pipelines using AWS tools, collaborate with clients, ensure data governance, and mentor junior engineers.

Manage and mentor country data product managers across Europe, drive product quality and productivity, collaborate with product, data operations, and analytics teams, develop market-specific roadmaps, and execute roadmap initiatives. The role requires strategic leadership alongside detailed understanding of data curation workflows and data quality metrics.

Develop scalable services for a next-generation data platform supporting incremental ingestion, aggregation, indexing, distributed systems, and large-scale data processing. Responsibilities include automated testing, maintaining delivery and integration pipelines, building reusable libraries, and collaborating with engineers and researchers on framework features. The role requires proficiency in Rust, Go, C++, or Java, plus distributed systems, multithreading, SQL, relational databases, cloud technologies, and effective communication.

Designs and implements complex Cisco data centre and networking solutions for enterprise customers. Responsibilities include deploying Nexus, VXLAN, and ACI environments; integrating security and network service appliances; analyzing performance; resolving complex technical issues; automating deployments with AI and infrastructure-as-code practices; developing reusable delivery frameworks; and influencing product roadmaps. The role is customer-facing and requires deep networking expertise, consulting or service delivery experience, and professional-level certifications.

Own technical outcomes for scalable product platforms and shared capabilities. Define architectures, technical strategies, engineering standards, APIs, services, and integration patterns across multiple teams. Lead technical discovery, simplify the technology estate, improve platform adoption, and make strategic decisions balancing value, quality, scalability, cost, and risk. Champion agentic Spec Driven Development and AI-assisted tooling, evaluate emerging technologies, mentor senior engineers, and influence organization-wide engineering direction.

Lead end-to-end data science and machine learning solutions for dynamic content targeting, from business conception through production deployment and impact evaluation. Partner with stakeholders, improve model quality and lifecycle processes, use model outputs to guide user experiences, and explore emerging AI techniques. The role requires advanced Python, SQL, dbt, statistical modeling, production ML deployment, and clear communication with technical and non-technical audiences.

Monitor product functionality and financial crime data, delivering SQL-based analysis, extracts, dashboards, and operational controls. Investigate issues, support customer operations, monitor internal and third-party functionality, complete recurring processes, and automate management information using SQL and Python. The role collaborates with Operations, Compliance, and product teams in a fast-growing fintech environment.

Leads data science methodology and hands-on analysis of clinical, real-world, and biomarker data to support drug development decisions. Builds predictive machine learning, deep learning, statistical models, dashboards, and data pipelines using R, Python, SQL, Bash, and Pandas. Translates business questions into analytical solutions, develops innovative algorithms, validates findings, and communicates insights to internal and external stakeholders, including regulatory and scientific audiences.

Lead multidisciplinary design teams delivering complex hyperscale, colocation, and enterprise data centre projects across Europe. Oversee projects from site due diligence and campus planning through construction documentation, ensuring technical quality, compliance, risk mitigation, and timely delivery. Manage client relationships, presentations, permitting coordination, commercial governance, and collaboration across regional delivery teams. Regular travel throughout the UK, Ireland, and Europe is required.

Own the vision, roadmap, functional design, and operating model for enterprise data governance across a Databricks-based platform. Define requirements and standards for metadata, glossaries, lineage, data quality, ownership, stewardship, classification, and data products. Act as product owner and business interface for delivery partners implementing Unity Catalog and Microsoft Purview. Drive stakeholder workshops, solution assurance, adoption, and AI-ready data governance aligned with enterprise standards.

Leads multidisciplinary teams delivering complex data centre projects from site due diligence and campus planning through construction documentation. Coordinates architecture, engineering, security, fire protection, ICT, BMS and EPMS disciplines; ensures technical quality, timelines, permitting compliance and risk mitigation. The role manages client relationships, presents project outputs, supports commercial governance, and collaborates across UK&I and European offices. Regular travel is required.

Leads claims data analytics for UK Claims Operations, developing KPI dashboards, self-service reporting tools, statistical analyses, and management information. Provides insights to improve productivity, customer experience, claims outcomes, and operational efficiency. Ensures regulatory and internal policy compliance, supports data literacy, advises colleagues, and collaborates with stakeholders across the organization.

Leads Data Management Functional Service Provider programs within a CRO, overseeing service delivery, operational performance, financial management, workforce planning, regulatory compliance, client relationships, and scalable solution development. The role drives quality standards, reporting, process harmonization, resource optimization, profitability, and strategic growth across multiple therapeutic areas while managing cross-functional teams and stakeholder partnerships.

Build, optimize, and maintain secure batch and streaming data pipelines using Snowflake and cloud platforms. Develop data models, support ingestion and transformation, apply governance and security practices, and collaborate with architects, engineers, analysts, and clients. The role also involves performance tuning, data solution delivery, technical leadership, mentoring engineers, and contributing reusable assets and best practices to the data engineering practice.

Designs and delivers scalable modern big data platforms, including streaming, data lake, and lakehouse architectures. Advises senior client stakeholders on data strategies, cloud-native modernization, governance, analytics, and AI integration. Leads solution design, implementation, transformation initiatives, and technical collaboration across multiple sectors. Contributes thought leadership, reusable assets, and practice growth while aligning data platforms with measurable business outcomes.

Designs and delivers scalable batch and streaming data pipelines using Databricks and Lakehouse architectures. Responsibilities include ETL/ELT development, data modeling, Delta Lake optimization, governance, security, orchestration, and cloud integration. The role is client-facing and involves collaborating with architects, engineers, ML teams, analysts, and senior stakeholders. It also requires mentoring engineers, improving data practices, enabling analytics and AI use cases, and contributing reusable assets and technical leadership.

Designs and implements scalable, secure Snowflake cloud data platforms for enterprise clients. Leads data modernization, migration, architecture strategy, ETL/ELT implementation, governance, security, performance tuning, and analytics enablement. Acts as a trusted advisor to senior stakeholders, connects business objectives with technology execution, guides delivery teams, and contributes to consulting practice growth through thought leadership, reusable assets, and propositions.