Top Data Jobs in London

Lead enterprise data architecture, design cloud data warehouse/lakehouse solutions (Snowflake, Databricks), define data modeling and governance, build integrations/APIs and ETL/ELT pipelines, implement streaming and orchestration (Kafka, Flink, Spark, dbt, Airflow), support implementations and client engagements, and ensure data quality, security, and regulatory compliance.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

The role involves evaluating AI outputs, providing annotations, and generating culturally relevant content while ensuring quality guidelines are met.

The AI Data Expert will evaluate AI outputs, provide cultural insights, generate content, and ensure quality by applying evaluation guidelines and offering clear feedback.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Deliver analytics, tools and insights to oversee Lloyd's market performance. Lead modelling, portfolio analysis, data quality initiatives, automation of BAU processes, and stakeholder-facing MI. Collaborate across Finance, Predictive Analytics, Capital and Data.

Deliver analytical solutions by gathering requirements, building Tableau/Power BI reports, querying large datasets with SQL, diagnosing data-process issues, and collaborating with stakeholders while supporting team growth and continuous learning.

Design, build, and maintain end-to-end data ingestion pipelines and data architecture. Transition datasets to a new stack, map/standardize/normalize data, monitor data quality, manage vendor data inputs, and partner with commercial trading teams to gather requirements and support analytics and investing use cases.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.

Lead development of ClickHouse's Python connector and SDKs, build integrations with orchestration and transformation tools, drive AI/LLM integration strategy for production data workflows, engage with open-source community, and collaborate across product and platform teams to deliver enterprise-grade data integrations.

Lead operational planning, resourcing and delivery for the D&I data team. Run team ceremonies, triage inbound requests, maintain tooling, implement process standards, track operational metrics, and directly manage Analytics Engineers and Analytics Developers while coordinating cross-functional stakeholders.

Lead end-to-end clinical data management for complex trials, set data collection strategy, own the data lifecycle, define EDC requirements, chair data quality reviews, author key study documents, mentor junior leads, oversee vendors/CROs, support regulatory submissions and audits, and drive continuous improvement in clinical data processes.

Lead enterprise data product strategy, governance, lifecycle and adoption. Orchestrate cross-domain prioritization, manage dependencies, own roadmap and demand intake, and engage senior stakeholders to drive value and alignment across Data, IT, and business domains.

Senior consulting leader who owns the strategic value narrative and client relationships across data platforms, AI and end-to-end software engagements. Leads discovery, executive workshops, alignment, change management and adoption, supervises delivery leads, supports pre-sales, and grows client engagements through solution shaping and go-to-market propositions.

Lead statistical genetics and population genomics analyses to support target discovery. Design and implement post-GWAS methods (fine-mapping, colocalisation, MR, PRS, rare variant analyses), build scalable reproducible workflows, integrate genetics with multi-omics, partner with experimental and ML teams, communicate findings, and contribute to publications and decision-making across programmes.

Serve as technical authority for signal processing and ML for CoMind One: define methodologies, develop and validate algorithms for cerebral blood flow, intracranial pressure, and autoregulation, drive data collection and labelling, produce regulatory evidence, publications and patents, and represent data science across R&D, clinical, and engineering teams. Senior individual contributor based in Kings Cross (4 days/week onsite).

Own the GoSilico product lifecycle and drive commercialization of digital modelling and data products. Lead VOC, define product requirements, manage roadmap and P&L, engage cross-functional stakeholders, and enable commercial teams to value-sell data-driven services to bioprocess customers.

Maintain and validate master data across NetSuite, ZIP, Jira and related systems. Support vendor onboarding, bank details, legal entities, directories, data quality controls, reconciliations, audits, and stakeholder coordination to prevent payment, reporting, and control issues.

Lead development and deployment of predictive pricing models and rating factors for insurance. Identify, analyse and monetise new data sources, build ML solutions from EDA to production, and work cross-functionally to deliver commercial outcomes and maintain model performance post-deployment.

Support Group Payroll Manager by coordinating UK and ROW payrolls, producing journals for Oracle, managing internal/external payroll queries, liaising with Global Mobility, P&C and outsourced providers, and maintaining payroll processes, compliance and documentation for a six-month part-time assignment.

Lead Data & AI strategy engagements for public-sector and regulated clients: assess maturity, prioritise use cases, build business and investment cases, design transformation roadmaps, advise on technology strategy, and support sales, delivery and capability building. Act as trusted advisor to senior stakeholders and mentor consultants to move clients from experimentation to scaled delivery.

Design, develop and deploy predictive models and rating factors to support insurance pricing. Identify and monetise new data sources, evaluate post-deployment performance, and collaborate with data engineers, actuaries and pricing analysts to deliver commercial outcomes.

Customer-facing senior pre-sales engineer who demos Databricks solutions, builds hands-on Spark PoCs, integrates cloud and third-party tools, authors reference architectures and demos, runs workshops, and partners with account teams to drive technical value. Requires travel to UK customer sites (~20-30%).

Mid-level data scientist focused on evaluating and building Generative AI systems. Work includes problem framing, experiment design, metric definition, error analysis, prototype-to-production AI engineering, cross-functional collaboration, and communicating trade-offs and recommendations.