Top Data Jobs in London

The Climate Data Scientist will enhance climate risk models, develop new analytical tools, and support financial entities in assessing climate impacts using large datasets and advanced methods.

Lead and evolve Skyscanner's data platform and decision tooling to enable reliable experimentation, production ML, AI-assisted analytics, data quality, automation for data engineering, scalable delivery, and measurable business impact. Define operating models, ownership, governance, and connect platform investments to product and revenue outcomes.

The Senior Manager, Data Sciences role focuses on developing novel computational methods and predictive models from complex clinical data to drive drug development insights.

As a Principal Data Scientist, you will lead complex data science initiatives, mentoring junior colleagues and collaborating with cross-functional teams to enhance business value through data-driven solutions.

Lead and grow a Data Science chapter, architect and deliver AI/ML/LLM solutions, establish MLOps and governance, mentor junior staff, collaborate with engineering and business stakeholders to drive productionised analytics and innovation.

Analyze and interpret complex datasets to support business decisions; perform data validation, profiling, reconciliation and root-cause analysis; develop SQL queries and Power BI reports; present insights to stakeholders; support data onboarding, automation/AI initiatives and process improvements to enhance data quality and operational efficiency.

Lead the companywide data strategy, overseeing acquisition, integration, governance, and quality of diverse datasets (omics, imaging, clinical). Collaborate with engineering, data science, and scientific teams to build scalable data infrastructure, manage partnerships with biobanks and data providers, implement governance and compliance, and build a high-performing data strategy and acquisition team.

Consult as a data scientist to design, build and deliver advanced analytics and ML solutions across the full modelling lifecycle. Translate client needs into analytical approaches, perform exploratory analysis, develop and test models, and handover solutions using tools like Python, SQL, Databricks and visualization platforms.

Design and validate agentic AI capabilities for Protege in PatentSight using ML, NLP, and LLMs. Build retrieval and hybrid search strategies, run experiments, evaluate models, analyze large IP datasets, and translate results into product recommendations while collaborating with engineers, product, and IP experts.

Design, experiment, and validate NLP/LLM and generative AI solutions for patent intelligence. Develop agentic workflows, retrieval strategies (hybrid semantic+lexical), evaluation metrics, and large-scale text processing methods. Partner with product and engineering to translate validated models into scalable, customer-facing features and deliver measurable business impact.

Analyse and interpret complex insurance data to support business decisions, perform data validation and profiling, develop SQL queries and Power BI reports, investigate and remediate data quality issues, collaborate with stakeholders, and support data onboarding and process improvements including automation/AI.

Build and maintain API and file-based integrations connecting client ERP/accounting systems to Prophix. Develop REST/SOAP integrations and JavaScript scripts, write SQL for ETL, support SFTP/cloud workflows, troubleshoot data issues, and document integration logic while collaborating with Professional Services and cross-functional teams.

Deliver HR data analysis, maintain HR systems and reporting (headcount, KPIs, compensation, diversity), produce dashboards and benchmarking, collaborate with HR COEs and payroll, and support governance, trends forecasting and stakeholder presentations.

Join an R&D team building a high-performance data warehouse. Design, develop, and test data warehouse microservices; troubleshoot field issues; collaborate with Product and Technical Support to prioritize and assist customers. Work across the stack on performance, cluster management, security, and debugging.

Interim role to develop a credible, evidence-based investor narrative supported by robust data governance. Ensure KPI definitions, reconciliations and controls align source data, management reporting and investor materials. Partner with Finance, Strategy, Risk, Compliance and Communications to prepare investor presentations, scripts and Q&A, resolve inconsistencies, and establish disciplined review and sign-off processes. Support senior leaders to present defensible performance, outlook and risk messaging.

Build and maintain automated data pipelines on the Databricks lakehouse using SQL, Python and PySpark. Produce production-ready data models, implement data quality checks and tests, follow Git/GitHub workflows, collaborate with consultants on healthcare data problems, and learn best practices from senior engineers.

The Subsurface Data Manager ensures data integrity, compliance, and accessibility for subsurface data, supports exploration teams, and oversees data management processes and quality control.

Serve as client-side electrical technical authority for data center projects: lead electrical design, manage external consultants, develop specifications, support construction and commissioning, drive standardized modular designs (DfMA), advise on OFCI procurement, conduct field investigations, and coach junior engineers while ensuring compliance with codes, IEC standards, and EU construction regulations.

Lead data science strategy and hands-on advanced analytics for drug development programs. Design and execute multimodal analyses (omics, imaging, EHR), develop AI/ML and statistical models, ensure reproducible pipelines, mentor a small team, and partner cross-functionally to influence trial design, biomarker strategy, and regulatory decision-making.

The Senior People Data Analyst will lead a data analytics team, ensuring the delivery of high-quality analytical tools and insights while managing stakeholder requirements and maintaining data governance standards.

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.