Top Data Jobs in London

Lead MEP cost control for data centre projects including detailed estimates, cost variance analysis, tendering, procurement, value engineering, change management, cashflow forecasting, contract administration, compliance, and mentoring junior staff.

Design, build and maintain scalable data pipelines and a data lakehouse; model graph databases (Neo4j); enable self-service reporting with Power BI; implement monitoring, testing and CI/CD for data quality; collaborate with stakeholders to translate requirements and deliver BI dashboards and analytics for cybersecurity insights.

Design, build, and maintain production data pipelines, services and platform capabilities for the Digital Ad Exchange. Collaborate with engineers, analysts and product teams, participate in code review and planning, and operate/support pipelines—investigating failures, improving observability, reliability and data quality.

Manage end-to-end delivery of data centre HVAC projects (chillers, CRAH, CDU): plan, schedule, coordinate vendors, control budgets, mitigate risks, and oversee on-site commissioning and stakeholder communication.

Client-facing role designing and delivering modern data platforms, architectures, and pipelines. Lead data strategy, governance, and engineering to enable analytics, ML/AI and GenAI use cases. Provide architectural leadership across programmes, support business development, thought leadership, and mentor junior staff while implementing cloud-native data solutions and governance frameworks.

Consult on data protection and privacy law compliance (e.g., GDPR, CCPA), configure and integrate OneTrust, advise on consent management, tailor privacy processes to client business models, and communicate with business, legal, IT, and security stakeholders.

Support end-to-end data science projects: clean, analyse and visualise structured data; assist building, deploying and monitoring predictive models; present insights to stakeholders and learn ML best practices.

Manage Alfa's day-to-day data privacy programme: draft and review policies and DPAs, run DPIAs, compile Records of Processing Activities, support international data transfers, lead audits, perform privacy risk assessments, and collaborate with Information Security, legal and client teams to ensure GDPR compliance and remediation tracking.

Lead strategic partner pursuits from planning through execution: identify and evaluate partnerships, negotiate complex agreements, build executive relationships, create business cases and quantitative analyses, and collaborate cross-functionally to integrate partner capabilities and drive GTM outcomes.

Lead analytics for global clients: develop dashboards, forecasting models and analytics tools; perform audience analysis, segmentation, performance measurement and automation; support proposals and new business; mentor junior analysts; shape analytics strategy and communicate insights to senior stakeholders.

Design, build and optimise large-scale data pipelines and processing systems for clinical and genomic data. Work across acquisition, transformation, lineage, metadata capture and de-identification; implement AWS-based infrastructure, orchestration, observability, testing and automation; support data models, governance and compliance; collaborate with product, QA and engineering teams and enable ML and visualisation capabilities.

Apply advanced analytics and modelling to improve risk selection, pricing, and claims insight for specialty insurance lines. Build, validate, and explain models for low-frequency, high-severity risks; engineer features from diverse datasets; collaborate with underwriting, pricing, claims, and engineers to deploy, monitor, and embed analytics into decision-making.

Serve as Snowflake platform authority and design lead, translating models into Snowflake/DBT implementations, enforcing medallion patterns, guiding production stability, cost and performance optimization, mentoring teams, and representing Snowflake architecture for enterprise governance and enablement.

Senior data quality engineer to design and execute data validation across ingestion, transformation, warehouse, BI, APIs and lineage. Maintain and extend dbt-based test harness, build automated checks using SQL/Python, integrate tests into CI/CD, perform reconciliation and regression testing across legacy and Snowflake platforms, and provide stakeholder reporting, defect triage, and knowledge transfer.

Lead the data science organization to deliver AI products, mentoring teams and executing a strategic vision for machine learning applications.

Lead design and delivery of a secure, scalable Microsoft-based data platform and centralised reporting. Integrate multiple sources, implement Microsoft Fabric, build Power BI reports, deliver financial and operational reporting, and engage senior stakeholders to drive adoption and data-driven decision-making.

Lead and scale Marketing Technology within CRM, owning Salesforce Marketing Cloud and Data Cloud roadmap, integrations, customer journey design, identity resolution, personalised automated campaigns, governance, GDPR compliance, and transitioning capabilities in-house.

Own delivery and budgets for customer technical fit-outs and internal operational projects across a global data‑centre portfolio. Define scope, manage contractors, control budgets, mitigate risks, enforce HSE/CDM compliance, and maintain stakeholder communications to ensure safe, timely, high‑quality project delivery.

Analyze and reconcile claims data from TPAs and internal systems using SQL, Python and Excel to produce MI, dashboards, reserving reviews, TPA performance oversight, and underwriting feedback. Build recurring extracts, automate reporting within Azure Databricks, support rules/scoring, participate in UAT, and translate insights into recommendations for claims, underwriting, and financial decision-making.

Lead analytics and technical discovery for a core product area, partner with product/engineering/ML teams, design and evaluate A/B experiments, build scalable datasets and dashboards, and influence product and commercial strategy through rigorous analysis and ML evaluation support.

As a kdb+ Developer, you'll work on trade surveillance projects, collaborating with business users, developing client applications, mentoring junior developers, and analyzing data to create client reports.

The Senior Data Platform Engineer will architect and build a scalable data platform, enabling teams to manage data with self-serve capabilities using modern tools. Responsibilities include developing microservices, leading technical initiatives, and promoting data governance and observability, collaborating with diverse stakeholders, and mentoring team members.

As a Data Architect at Kainos, you will provide guidance on data architecture, manage a small team, ensure data solutions fit client needs, and engage with stakeholders. You will also lead technical projects and support junior staff development.

Lead a 10–12 person data organization to run and scale a GCP-native data platform, complete Snowflake-to-BigQuery consolidation, establish SLOs, data governance, self-serve analytics, and support ML/AI feature and telemetry workloads across product lines.

Lead Real-World Data sales across EMEA by developing senior client relationships (Pricing, Market Access, HEOR, Medical Affairs), managing key accounts and operations, supporting the full sales cycle, aligning with global teams, shaping thought leadership, and delivering CRM-driven sales updates.