Top Data Jobs in London

The Data Centre Engineer will manage data centre operations including design, installation, and maintenance of equipment while ensuring data safety and accessibility.

The role involves managing data quality for portfolio risk analytics, troubleshooting data issues, and collaborating with teams to enhance data processes. It requires strong analytical skills and experience in financial data, risk models, and technical proficiency in relevant programming languages.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

Serve as the primary business owner for International data stewardship (initial: Policy/Underwriting). Own definitions, CDEs, prioritize and validate data quality remediation, guide downstream usage, and partner with data, IT, and business stakeholders to evolve governance operating models.

The Senior Data Scientist will collaborate with product teams, develop metrics, design data pipelines, and influence product strategy through data analysis at Intercom.

As a Senior Data Scientist at Intercom, you'll analyze data to drive decisions, support product teams, build data pipelines, and influence product strategy using AI tools.

Design and implement a shared GCP-native data pipeline architecture for HR and Finance, build Workday and Oracle connectors, maintain a unified Cloud SQL data model and lineage graph, enable real-time event capture via Firebase, and ensure pipeline observability and Power BI DirectQuery support.

The Integration Engineer manages and tests integration projects, ensuring interoperability with healthcare systems using HL7 and DICOM standards, while improving integration processes and troubleshooting issues.

Lead EMEA Data & Measurement product and GTM strategy for Samsung Ads, owning product readiness, data infrastructure (ACR, device/household graph), privacy and regulatory compliance, integrations (clean rooms, third-party data, JIC), sales enablement, cross-functional stakeholder alignment, and people management to drive commercial adoption and revenue growth.

Lead end-to-end ownership of the data estate and delivery of large data transformation programmes. Manage stakeholders, vendors, budgets, SDLC, data platform architecture, compliance, and a cross-functional team to deliver Snowflake and relational database solutions aligned to business strategy, especially for insurance.

Support delivery of machine learning and AI projects, develop and maintain models, translate data into business value across pricing, marketing and operations, and collaborate with teammates while learning from senior colleagues.

Lead and manage a team of data scientists and market researchers to design, prototype and deliver MVPs and scalable applied data-science solutions for CPG clients. Define solution scope, translate commercial ideas into technical designs, drive innovation with advanced analytics/ML, promote reuse of science/code, and ensure quality, risk management and team development.

Lead design and operation of a Continuous Control Monitoring (CCM) capability across technology and cyber risk. Partner with control owners to identify critical controls, build automated KCI/KRIs, create data pipelines and dashboards, integrate data lake/GRC tooling, support audit and regulatory assurance (DORA, SOX), and shift testing to continuous assurance.

Design, build and optimize scalable AWS-based data pipelines (batch and real-time) to supply analytics and ML tools such as SageMaker. Implement orchestration, containerisation, IaC, cost and performance optimisations, and embed DLP and governance controls to protect and deliver reliable datasets for downstream consumption.

Maintain and own infrastructure portfolio data across financial, operational, ESG and value-creation metrics. Run recurring data collection, ensure data quality, produce dashboards and investor reporting, support ESG regulatory reporting and coordinate external providers.

Apply and develop statistical and ML methods for genomics and multi-omics data to support target discovery and validation. Build scalable, reproducible computational workflows, integrate human genetics with OMICs, collaborate with experimental and ML teams, communicate results, and contribute to scientific outputs.

Design and build data models, reports, and dashboards to support Claims and Fraud operations. Analyze performance, identify trends and improvement opportunities, and deliver data-driven insights to senior stakeholders. Collaborate cross-functionally with Claims, Fraud, Pricing, and Actuarial teams to inform strategic decisions and track initiative impact.

Design, implement, and evaluate production ML models for ETA, destination, and product estimation using maritime AIS and geospatial features. Build dbt features orchestrated by Airflow, run structured experiments with the kpler-ml framework, log and compare runs in MLflow, monitor model drift, and collaborate with market analysts to prioritize improvements.

The Senior Data Scientist will develop and test deep learning architectures, drive strategy across teams, and ensure models effectively solve real-world financial problems while mentoring others.

Create data-driven visual journalism: identify story ideas, design embeddable graphics and immersive projects, collaborate with reporters, designers and engineers, and use web frameworks and data tools to explain news under tight deadlines.

Lead research and forecasting on data center compute technologies, publish evidence-based analysis, advise senior IT leaders, present at conferences, and support sales and client engagement around server virtualization, cloud/hybrid infrastructure, containers, HCI, disaster recovery, and related vendor landscapes.

The Forward Deployed Data Solution Engineer works embedded within teams to ensure software quality, guide technical decisions, and design integration patterns, focusing on AI-enabled capabilities and data governance.

Lead analytics for global client accounts, building measurement frameworks, designing experiments, delivering campaign insights, and managing stakeholder relationships. Drive commercial scoping, tool integration, and mentor analysts while applying statistical methods and advanced measurement techniques to optimize media effectiveness.

Support Beauty Operations by maintaining end-to-end batch and inventory data, monitor expiries across 3PL sites, track NPD and supply chain project milestones, maintain product master data, liaise with 3PLs, and prepare scalable processes for an SAP ERP rollout to reduce compliance risk and write-offs.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.