Top Data Jobs in London

Lead clinical data management for one or more trials: define expectations, create and track DM deliverables (CRFs, review/QC/oversight plans, datasets, submission packages), ensure data quality and inspection readiness, oversee vendors and partners, provide trial-level oversight, participate in working groups, audits, and training for investigators and monitors.

Execute day-to-day operational tasks for a sports-betting team, record and analyze live betting and transactional data, investigate discrepancies, support market resolution and settlement, communicate with internal and external parties, and manage funds to increase betting capacity while adhering to strict processes and deadlines.

Build, deploy, monitor and recalibrate credit risk machine learning models; perform data extraction, wrangling and feature engineering; detect data/model drift; improve decision explainability; optimise data pipelines and partner with product, engineering and operations to implement lending, acquisition and affordability strategies.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

Design, build, and maintain scalable ETL/ELT pipelines and modern lakehouse architectures. Optimize data solutions using Databricks, Spark, and AWS. Produce high-quality Python code, data models, and monitoring to ensure data accuracy, reliability, and performance. Collaborate with product teams, troubleshoot complex data issues, and improve infrastructure scalability.

Lead end-to-end delivery of data and annotation operations: intake, estimation, scheduling, execution, QA, supplier coordination, and self-serve user enablement. Drive clarity, risk management, status communication, and continuous improvement to make data pipelines predictable and high quality across engineering, data science/ML, and external annotation partners.

Lead design and delivery of a Snowflake-based cloud reporting and data analytics platform for SwapClear & Listed Rates. Own migration from Oracle/Informatica, ensure availability, performance, governance and lineage, drive technical standards, mentor engineers, partner with architecture, governance and business stakeholders, and support quality, observability and multi-year roadmap delivery.

As a Data Scientist, you will create and enhance detection models for secure Generative AI adoption, collaborate with teams on data curation, and drive continuous model improvement based on customer feedback.

Lead strategy, governance and innovation for data, measurement and optimisation across Growth Solutions. Define measurement vision, build data and audience strategies, establish optimisation frameworks, advise clients and agency leadership, drive product development, and lead a high-performing team to deliver measurable commercial outcomes.

Lead delivery and operationalisation of measurement, data and optimisation across Growth Solutions. Develop measurement frameworks, run attribution, incrementality and econometric analyses, build dashboards and test-and-learn programmes, partner with product and data teams to activate audiences, and provide client-facing measurement expertise to drive commercial outcomes and adoption.

Lead privacy and AI governance across EMEAPAC: implement and improve compliance frameworks, monitor regulation (including EU AI Act), manage DPIAs/RoPAs/DSARs, advise business and technical teams, run incident response, draft vendor data terms, deliver training, and support the Head of Regulatory Risk and DPO.

Identify and recruit C-level delegates for invitation-only AI summits via research and multi-channel outreach. Tailor messaging by segment, hit individual and team sales targets, maintain delegate relationships, align with marketing, and record interactions and feedback in CRM to maximize registrations and revenue.

Own end-to-end analytical projects: scope business problems, build Looker dashboards and Hex notebooks, write production-quality SQL and Python, monitor KPIs, diagnose data discrepancies, communicate insights to stakeholders, and use AI/LLMs to accelerate analysis while ensuring accuracy and repeatability.

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

Lead a team performing data investigations and impact analyses across consumer and commercial lines. Use SQL and Python to prepare and analyze data, triage incidents and client queries, represent Data & Analytics in incident meetings, prioritize analyst work, support data improvement initiatives, and present findings to technical and non-technical stakeholders.

Lead multidisciplinary design teams to deliver hyperscale, colocation, and enterprise data centre projects across Europe. Manage all design phases from due diligence and campus planning through construction documentation, ensure technical quality, mitigate risks, support commercial governance, and maintain client relationships while coordinating localisation and permitting compliance.

Lead multi-disciplinary design teams to deliver hyperscale, colocation and enterprise data centre projects across Europe. Manage all design phases from due diligence and campus planning to detailed construction documentation, ensure technical quality, mitigate risks, support commercial governance, maintain client relationships, and coordinate localisation and permitting. Client-facing role with regular travel and hands-on delivery.

Lead multidisciplinary teams to design and deliver hyperscale, colocation, and enterprise data centres across Europe. Manage all project phases from due diligence and campus planning through detailed design and construction documentation, ensure technical excellence, mitigate risks, support commercial governance, maintain client relationships, and coordinate localization and permitting compliance while meeting timelines.

Design, build, and productionise large-scale optimisation models and bespoke solvers for last-mile scheduling, assignment and pricing. Translate operational requirements into mathematical programming and heuristic solutions, benchmark and monitor performance, and work cross-functionally with engineering and analytics to deploy and evolve automated decision systems.

Work directly with customers to onboard datasets, design synthetic population queries, diagnose and improve data pipelines, validate synthetic methodologies, lead technical engagements, train and document for adoption, and feed customer insights into product priorities.

Lead development and execution of global data strategies for major clients, design audience-first solutions using 1PD/2PD/3PD, drive platform integration (WPP Open, Infosum), collaborate cross-functionally, support commercial growth, and mentor junior team members while advising senior client stakeholders on measurement and data-driven media transformation.

Design, build, and operate scalable, fault-tolerant data pipelines ingesting EHR and device data (ADT, meds, notes, vitals). Transform, validate, and load into MySQL and Snowflake on AWS. Ensure HIPAA/SOC2-compliant handling of PHI, monitoring, incident response, and collaboration with ML, backend, and clinical teams to support analytics and model workflows.

Operate, maintain and optimise a pyrolysis plant; build and validate process models (Aspen); perform lab testing and material analysis; support commissioning, safety assessments (HAZOP), MRV systems and scale-up; develop SOPs and train site staff to deliver repeatable carbon-removal operations.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.