Top Data Jobs in London

Lead delivery and operationalisation of data, measurement and optimisation across Growth Solutions. Develop measurement frameworks, run attribution, incrementality and econometric analysis, generate audience insights, build dashboards and optimisation programmes, support clients and product teams, and drive cross-functional capability development and adoption.

Build and lead a global reliability and technical assurance function for a hyperscale data center fleet. Define reliability baselines, risk models, and assurance cycles; conduct technical inspections and verification; translate incidents into corrective actions and fleetwide improvements; establish governance, KPIs, executive reporting, and automation/drift-detection roadmaps; hire and lead a focused team with authority to escalate systemic risks to the Executive Leadership Team.

Lead development and deployment of multimodal and generative AI models to automate and optimise claims processing. Build end-to-end ML solutions, integrate with MLOps, evaluate new data sources (fraud signals, open banking, telematics), and design agentic AI to streamline workflows while collaborating cross-functionally to measure impact and ensure production reliability.

Perform data validation, reconciliation and cleansing across finance systems; resolve discrepancies; support system enhancements via testing; build automated reports with stakeholders; investigate data issues and implement quality improvements.

Lead technical configuration and deployment of the OneView platform: extract and clean client data, configure predictive models, build cohorts, design dashboards, manage technical delivery, track benefits, upskill client teams, and collaborate with business, governance, platform, and QA teams to ensure smooth, value-driven implementations.

Lead Evergreen Finance's data strategy, ensuring platform scalability, governance, and cultural adoption of analytics across teams. Guide technical and non-technical stakeholders in data-driven environments.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

As a Senior Data Engineer at YLD, you'll design and build scalable, resilient data-driven solutions, collaborating with cross-functional teams to innovate and enhance productivity through AI tools.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

As a Lead Data Scientist, you will set technical direction, ensure project delivery, manage client relationships, and mentor data scientists.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

As an Innovative Project Planner, you will oversee project plans, ensuring efficient delivery through effective resource management, stakeholder communication, and the development of scalable solutions in complex construction projects.

The Innovative Planning Manager will enhance project delivery, manage project plans, create scalable solutions, report to stakeholders, and develop teams in complex construction environments.

As a Project Controls Manager, you'll enhance project delivery through effective cost, schedule, and risk control, while leading team development and creating scalable solutions.

The Senior Data Analyst will enhance courier performance management and optimize handovers by modeling trade-offs, running experiments, and improving data analytics.

As a Senior Data Scientist, you will build and maintain production models for pricing decisions, define pricing dynamics, and measure strategy impact within a collaborative team.

Design, deploy, and govern enterprise-scale data architectures and platforms to support analytics and AI. Define modeling standards, integration pipelines, data quality, lineage, and security. Lead technical direction, mentor engineers, evaluate AI tooling, and support proofs of concept and solution roadmaps that enable generative AI and RAG solutions.

Own and operate Databricks-based data platform production support, build and migrate ETL/ELT pipelines to Databricks across Azure/AWS, optimize compute and performance, enforce Delta Lake architecture and data security, implement observability and CI/CD, support multi-tenant onboarding and on-call incident response, and maintain runbooks and SLA metrics.

Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.

Perform data profiling and validation for a large-scale public-sector data migration. Define and execute data quality rules, run SQL (MySQL) and stored procedures, test BI dashboards, document findings, and liaise with engineers and stakeholders to ensure accuracy, completeness, consistency, timeliness, validity and uniqueness of migrated data.

The Data Onboarding Specialist coordinates onboarding processes for hotel clients, ensuring reliable data delivery, managing relationships with clients and technology partners, and overseeing data quality and compliance.

The Lead Data Engineer will develop and maintain a data platform, create data pipelines, ensure infrastructure support, and provide governance for stakeholders' data needs.

As Lead Data Analyst, you will monitor and ensure the accuracy of forecasting models, diagnose forecasting errors, and communicate findings to stakeholders for operational improvement.