Top Data Jobs in London

Support implementation of GDPR and global privacy strategy: manage third‑party due diligence, document data processing, assist DPIAs, advise on legal privacy issues, handle data subject requests and breaches, and help expand privacy program across jurisdictions.

As a Senior Data Scientist, you will develop and deploy machine-learning models, collaborating with teams to enhance data systems' performance and quality.

Design, build and maintain scalable batch and near-real-time data pipelines and reusable models; evolve the data platform using CI/CD and infrastructure-as-code; ensure data quality, validation, lineage and observability; collaborate with Data Science, MLOps, Product and commercial teams and mentor others to deliver production-ready data solutions.

Lead architecture, design and delivery of enterprise EDM and data solutions across MUFG entities. Mentor EDM developers, translate business requirements into detailed designs, ensure compliance with SDLC and controls, support testing and UAT, liaise with stakeholders and vendors, and drive automation and AI-enabled data capabilities while managing supportability and cost-effectiveness.

Lead financial analysis and investment workstreams for European real estate and data center opportunities. Build and maintain financial models, prepare investment memos and committee presentations, coordinate due diligence and financing, support asset acquisitions, development and repositioning, maintain databases and legal/compliance templates, and drive process improvements.

Seeking a Senior Power Generation & Storage Technologist to lead advanced energy solutions for AI and cloud data centers, involving techno-economic studies, collaboration, and technology integration.

Use life-science domain knowledge and data science to analyze Veeva and external datasets, build dashboards and pipelines, apply ML/NLP/GenAI, and present insights to senior pharma stakeholders to support R&D and commercial strategies.

Develop and scale the data platform: build time-series data pipelines, APIs, databases, CI/CD and cloud/on-prem infrastructure; apply AI for automated analysis; ensure data quality, testing and cross-team collaboration.

Build and operate Kafka and CDC pipelines, help architect an Iceberg-backed Lakehouse, deliver scalable data serving layers, enable self-service analytics, drive data observability, and consult teams on integration, modelling, and schema design.

The Senior Data Analyst will support the CEO Office with analytical insights for transformation initiatives, evaluate market opportunities, identify growth areas, and develop analytical models for business performance.

Perform data collection, analysis, and interpretation to identify trends. Build and maintain dashboards and reports, ensure data accuracy through quality checks, collaborate with teams to deliver actionable insights, and support development of analysis methodologies.

Serve as the Data Science Director's right hand to prioritise work, remove blockers, run model monitoring and change control, coordinate deployments, manage cross-team dependencies, run hiring and onboarding, and prepare decision-ready materials for senior stakeholders to ensure disciplined, fast delivery of credit and decisioning models.

Coordinate and manage onsite deployments, expansions, and break-fix field service engagements. Act as operational lead across customers, sales, support, field engineers and vendors to ensure scheduling, logistics, escalation, documentation, and revenue recognition are completed on time.

Lead data management across clinical and research domains, establish governance and standards, improve data quality and discoverability, shape Genomic Research Dataset processes and tooling, collaborate with engineers, researchers and partners, and ensure compliance with regulatory and ethical requirements.

Lead a small team of pricing data scientists to own loss-ratio views, translate analytics into commercial pricing actions, drive cross-functional investigations with claims/finance/product, and communicate performance and risk trends to senior stakeholders to inform pricing strategy.

Support Commercial Risk through daily/periodic risk reporting and VAR processes, develop and validate quantitative models for valuation and risk of complex gas and power transactions, perform price time-series analysis, ensure risk data quality, improve risk systems and reporting, and collaborate with traders and stakeholders to operationalise models and deliver ad-hoc analyses.

Design, implement, and maintain data lakehouse architectures on AWS; build secure data pipelines with PII protections and compliance; advise clients across technical and executive stakeholders; manage data residency requirements; collaborate with analytics, security, and legal teams; support ML feature stores and model deployment.

Build and maintain data platform and production data warehouse; translate PM and quant requirements into technical solutions; design ETL, data modeling, cleansing, monitoring, and alerting systems; evaluate new tooling; optimize performance and manage vendor relationships.

Lead design, build, deploy, monitor and improve production ML/AI solutions (including LLMs, retrieval, ranking, recommender systems). Mentor and grow a team of five data scientists, set technical standards, collaborate with Product/Engineering/Design, and create reusable ML components and architectures.

Reconcile Quinyx scheduling and timesheet data against payroll, prepare variable-hours pay data (overtime, uplifts, premiums), maintain shift patterns and pay rules, resolve payroll queries with frontline staff and managers, and propose process improvements over a six-month FTC.

Lead portfolios of marketing-mix-modeling (MMM) and marketing effectiveness programs, manage teams, ensure delivery quality, translate analytics into C-suite recommendations, drive account growth, and develop talent and practice thought leadership.

The Data Operations Support Analyst supports data feed utilization, demonstrating benefits to accounts, ensuring customer service, and resolving technical issues related to data feeds.

The Data Analyst will create and manage dashboards using Google BigQuery and Looker Studio, analyze marketing and sales performance, and derive insights to enhance customer experience and decision-making processes within the company.

Drive growth of Nord Pool's Power Data subscriptions by sourcing new customers, administering sales and renewals through contract signing, managing existing accounts, collaborating with product and sales teams, researching market opportunities, supporting cross-sell and implementation, attending industry events, and running targeted sales campaigns.

Own and improve people data: map, clean, and reconcile HR data across systems; build repeatable dashboards and reliable reporting; support compensation and benefits analysis; improve integrations between HRIS/ATS/payroll; upskill teams and apply practical AI/data tools to automate reporting and surface insights.