Top Data Jobs in London

Develop marketing measurement and effectiveness analyses using client and marketing platform data. Support data processing, statistical analysis, media mix modelling, controlled experiments, KPI forecasting, and budget optimization. Translate analytical findings into actionable client insights while developing expertise in R, Python, SQL, and advanced data science techniques through training and project work.

Lead the established Analytics team and own the organization-wide Analytics strategy within the broader data strategy. Expand data adoption, literacy, trust, and measurable business value while protecting critical regulatory and Results Day delivery. Develop analysts at all levels, build senior stakeholder partnerships, guide responsible AI and new tooling adoption, prioritize investments, and quantify return on analytics initiatives.

Design and implement explainable AI/ML solutions, multi-agent systems, and production-grade data science tools for Risk Management and Compliance. Develop secure code, APIs, batch pipelines, monitoring, and retraining processes while partnering with Product, Engineering, Model Risk, Compliance, and business stakeholders. Support Responsible AI standards through documentation, fairness testing, human-in-the-loop controls, Agile delivery, and operational integration.

Supports marketing measurement and effectiveness projects by processing campaign and client data, conducting media mix modeling, designing marketing experiments, forecasting KPIs, and translating analytical findings into actionable client insights. The role develops expertise in data science, statistical modeling, marketing analytics, and channel optimization while collaborating across clients and industries.

Leads MEP cost consultancy for data centre and real estate projects across feasibility estimating, cost planning, procurement, tendering, value engineering, commercial management, dispute resolution, and post-contract delivery. Provides technical guidance, manages client service delivery, supports team performance, and contributes to project analysis, negotiation, and successful outcomes.

Manage cost planning and commercial management for mechanical, electrical, and plumbing systems on complex data centre projects. Responsibilities include cost estimation, variance analysis, tender documentation, procurement, value engineering, change control, contract variation negotiation, cash flow forecasting, compliance, client advice, and mentoring junior colleagues.

Analyzes HR and workforce data to develop dashboards, reporting, and actionable insights across retention, recruitment, diversity, engagement, and workforce planning. Maintains data quality, supports governance and reporting automation, evaluates people initiatives, and partners with HR and business leaders to inform strategic decisions and organizational change.

Leads data assessments, architecture, operating models, governance, master data management, data quality, and analytics delivery for private equity clients. Advises senior stakeholders, defines roadmaps and technology solutions, oversees engineering teams across the UK and India, and connects data platforms to measurable business value. The role also involves client relationship management, proposal development, commercial estimation, team leadership, and extensive travel across Europe.

Analyze HR and workforce data to identify trends, risks, and opportunities across the employee lifecycle. Develop dashboards, automate reporting, maintain data quality, support governance and audits, and provide actionable insights for retention, recruitment, diversity, engagement, and workforce planning. Partner with HR and business leaders to support strategic decisions, organizational change, and a data-driven people culture.

Advise clients on data privacy, protection, governance, cross-border data transfers, AI and emerging technology, cybersecurity incidents, technology transactions, outsourcing, digital transformation, M&A due diligence, commercial data arrangements, and evolving digital regulation. Collaborate with international clients and multidisciplinary legal teams in a hybrid London-based environment.

Build and maintain scalable data pipelines, Snowflake data models, integrations, automation, and data quality controls for DK and PRH. Support BI reporting with Power BI and Microsoft Fabric, manage CI/CD, monitoring, documentation, governance, and incident resolution. Collaborate with technical and business stakeholders to translate requirements into secure, reliable data solutions, while contributing to technical reviews, continuous improvement, and data engineering best practices.

Analyze and improve actuarial data quality, reliability, governance, and reporting across Pricing, Reserving, and Portfolio Management. Investigate data issues, bugs, and business impacts; support pricing and portfolio reviews; identify data gaps; and provide actionable insights for commercial decisions. The role requires translating complex findings for technical and non-technical stakeholders while partnering with data teams and actuarial functions to improve analytical processes and digital underwriting capabilities.

Design, build, test, document, and support production data pipelines and data products on Snowflake using dbt Cloud. Develop dimensional models, enforce data quality and governance, optimize performance and cost, and support CI/CD and code reviews. Partner with underwriting, actuarial, operations, and engineering stakeholders to refine requirements, manage delivery expectations, and contribute to agile planning, platform standards, and the data product roadmap.

Leads data and integration engineering for digital product profile data across R&D, CMC, manufacturing, and commercial systems. Designs data models, pipelines, integrations, CI/CD processes, deployment environments, and knowledge-graph implementations. Supports AI and analytics initiatives, monitors data quality and system performance, troubleshoots recurring issues, documents technical standards, and coaches engineers and analysts. Ensures solutions meet security, privacy, GxP, validation, and change-control requirements.

Lead data and research consulting projects, translating complex structured and unstructured data into actionable insights. Design analytical approaches, use Python, statistical and machine learning methods, and apply LLMs to analyze data. Present findings through compelling narratives and visualizations, manage analytical workstreams, support proposals and pitches, and mentor colleagues while delivering projects within budget and deadlines.

Leads AI and data security architecture across a global healthcare organization. Defines secure AI adoption patterns, governance frameworks, security controls, and standards; conducts threat modeling and architecture reviews; assesses cloud platforms, APIs, suppliers, and AI solutions; manages emerging AI risks; and advises senior stakeholders on security, privacy, and responsible innovation. Partners with technology, data, legal, clinical, and risk teams to protect sensitive personal and clinical data.

Provides clinical data management support for assigned studies, including ongoing data review, discrepancy and query resolution, data cleaning, database lock activities, regulatory documentation, and user-access administration in Medidata Rave. Collaborates with clinical and analytical teams, supports system training and troubleshooting, and ensures compliance with study protocols, data management plans, SOPs, GCP, FDA, and ICH requirements.

Leads data consulting engagements for private equity-backed businesses, covering data assessments, architecture, governance, MDM, data quality, analytics, and AI readiness. Translates business needs into requirements, delivery roadmaps, and measurable outcomes; directs distributed engineering and analytics teams; manages client relationships, scope, dependencies, quality, and risks; and presents recommendations to stakeholders across Europe.

Maintains and evolves real-time market data platforms, integrating, normalizing, processing, and distributing data from exchanges, vendors, and internal systems. Troubleshoots production issues, optimizes low-latency and high-throughput performance, develops automation, supports upgrades and deployments, and improves monitoring, resilience, capacity, and scalability. The role also involves stakeholder and vendor collaboration, compliance with market data licensing and exchange requirements, documentation, and occasional support outside standard business hours.

Build and maintain reliable data pipelines, transformations, data models, and supporting processes for business intelligence, reporting, analytics, and AI use cases. The role includes testing, deployment, code reviews, data-quality troubleshooting, documentation, and collaboration within agile cross-functional teams. Candidates should have strong SQL and Python skills, production pipeline experience, knowledge of data warehousing and data quality, cloud-platform familiarity, and understanding of CI/CD, version control, and testing practices.

Lead analytical projects using large behavioral datasets to support Ofcom’s regulatory, policy, and enforcement work. Build robust, documented processes for data ingestion, cleaning, processing, analysis, and visualization. Produce reproducible statistics and insights, manage project delivery, collaborate with internal teams and external data providers, and contribute to communications market reporting and other research activities.

Designs, builds, and improves scalable data ingestion and transformation pipelines using Python, SQL, dbt, Airflow, Spark, AWS, and Snowflake. Owns data lake and platform reliability, ETL processing, table refreshes, defect resolution, performance optimization, automation, and CI/CD delivery. The role also requires data modeling expertise, complex data problem-solving, and leadership through coaching and technical direction of Data Engineers.

Supports data science projects by building models and pipelines, analyzing datasets, maintaining data quality, and communicating insights. Collaborates with product, engineering, and senior data science teams to integrate data products into production. The role offers mentorship and development while contributing to retail intelligence solutions.

Supports enterprise distribution systems and Marketing business stakeholders in a matrix IT organization. Creates and maintains dashboards, delivers international business data insights, gathers requirements, supports troubleshooting, and engages with development teams across traditional and agile delivery models. The internship develops business analysis, data analysis, project management, technology support, and stakeholder engagement skills.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.