Top Data Jobs in London

Lead a bank-wide data quality and remediation programme for client reference data. Establish governance, align senior stakeholders across Front Office and Technology, prioritise remediation workstreams, coordinate analysts, drive process change, and report progress to leadership. Support data readiness and AI-related activities.

Investigate and improve the quality of chartering datasets covering vessels, ownership, fixtures, cargo orders, positions, and shipping zones. Use SQL and Python to analyze large datasets, identify inconsistencies, develop validation checks, and investigate root causes. Review AI-parsed fixture data, maintain geographic mappings in QGIS, establish data-quality metrics, and collaborate with Product, Data, Research, Engineering, and AI/ML teams to drive systematic improvements.

Design, build, and scale cloud-native data warehouses and robust ETL/ELT pipelines (primarily BigQuery). Optimize performance, implement partitioning and cost controls, ensure data governance, observability, and regulatory reporting support, and collaborate with analytics and engineering stakeholders.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Own and operate Databricks production data pipelines for a predictive CRM platform: monitoring, incident response, cost and performance optimization, migrating legacy ETL, onboarding customers, enforcing Delta Lake architecture and multi-tenant isolation, and applying CI/CD, security, and observability best practices to ensure reliable, scalable data delivery.

Lead technical strategy for enterprise analytical data modelling, analytics automation and engineering empowerment. Build reusable modelling patterns, automation (including Snowflake Cortex and LLMs), self-service frameworks, mentor engineers, and drive platform modernisation to enable squads to deliver scalable, trusted Data Products.

Lead the measurement and insight function for a flagship loyalty programme: set metric definitions, design incrementality and control-group testing, own analytics roadmap and standards, translate findings to stakeholders, own predictive models and forecasting, and assure analytical quality across multi-party delivery to demonstrate commercial value.

Senior individual contributor who analyzes marketing performance, owns measurement and GA4 tracking, partners with paid media and CRM teams, builds dashboards and advanced measurement (LTV, CAC, incrementality), and translates complex data into actionable recommendations for senior stakeholders.

Sell Stripe Data products to drive new business and expansions. Build multi-threaded client relationships, create strategic account plans, lead upsell and complex negotiations, and collaborate with Product, Marketing, and Sales teams to inform roadmap and achieve revenue targets.

Work with financial-services clients across data strategy, architecture, data management, analytics and delivery of data transformation programmes. Advise on predictive analytics, ML/AI use cases, use proprietary NLP tooling, build dashboards, support regulatory data lineage/quality, and help identify business opportunities while collaborating with sales and consulting leadership.

Lead design and delivery of cloud-based data engineering, analytics and AI solutions. Advise clients, capture requirements, create solution architectures, build data platforms and ETL/ELT pipelines, develop Power BI dashboards, integrate ML/Generative AI, and lead/mentor project teams to deliver scalable, secure data products.

Design and build a greenfield marketing data foundation: tracking/tagging, identity strategy, data pipelines, integrations (GA4, Salesforce, Databricks, COGNOS), data modeling and QA, dashboards, attribution/MMM, governance and compliance. Serve as primary contact for marketing data issues, enforce standards, prioritize analytics backlog, and enable stakeholders.

Lead and build a marketing data science and analytics function to unify marketing measurement (MMM, attribution, mobile measurement), experimentation, and MarTech. Hire and manage teams across analytics, data science and engineering, set measurement standards, partner with Finance and senior stakeholders, drive predictive analytics and media optimisation, govern privacy-first measurement across markets, and manage vendor and build-vs-buy decisions.

Operate, optimize, and scale Better Collective’s DMP and contextual targeting solutions. Build and manage audience segments, profile inventory for scale and brand suitability, collaborate with sales and product teams to translate data into commercial insights, and ensure privacy/compliance alignment across markets.

Lead design and evolution of a company-wide data platform spanning streaming, batch, warehousing, orchestration, governance, and ML enablement. Deliver core platform capabilities, reliable real-time pipelines, shared tooling, and scalable infrastructure. Drive cross-team initiatives, champion golden paths, improve reliability/cost/observability, ensure regulatory compliance, and mentor senior engineers while influencing technical strategy and standards.

Deliver and validate statistical logic for a company-wide experimentation platform. Prototype analyses in Python, perform independent QA of platform outputs, investigate discrepancies, automate QA where possible, collaborate with Data Engineering, BI, ML and product teams, and contribute to future statistical and ML initiatives.

Lead product strategy and roadmap for AI, data, and integration capabilities across Trade and Channels. Manage full product lifecycle, define data and API requirements, identify AI/ML and automation use cases, ensure scalability and governance, drive cross-functional initiatives, support go-to-market and adoption, and provide executive reporting.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

Data Contributors will research startups, analyze global data for StartupBlink's Global Startup Ecosystem Index, and compile accurate information for publication.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

The role involves developing go-to-market strategies for VAST Data within the UK Defence & Secure Government sectors, building relationships with key stakeholders, identifying and closing strategic sales opportunities, and representing the company at industry events.

Own commercial growth for a strategically important enterprise account: build executive relationships, execute multi-year account plans, win new business, translate technical propositions into commercial cases, manage account marketing and governance, maintain pipeline and forecasting, and coordinate local GTM teams to drive predictable revenue growth.