Top Data Jobs in London

Build and evolve CluePoints’ enterprise data platform using Microsoft Fabric and Azure. Responsibilities include migrating Azure SQL and ADF workloads, integrating SaaS and web data, developing scalable ingestion and transformation pipelines, maintaining Kimball dimensional models, and establishing CI/CD, data quality, lineage, security, and monitoring. The role partners with analytics leadership and supports trusted Power BI reporting across multiple business functions.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

Designs and delivers scalable data pipelines and Lakehouse architectures using Databricks, Spark, PySpark, and Delta Lake. The role covers ETL/ELT, data governance, security, quality, performance optimization, cloud integration, and CI/CD. It involves technical leadership across customer programmes, architectural decision-making, stakeholder collaboration, mentoring, and supporting reliable production data solutions.

Lead consulting engagements for defence, government, national security, and regulated-sector clients. Responsibilities include discovery, stakeholder workshops, digital and data strategy, target operating models, architecture, transformation roadmaps, AI and analytics opportunities, data governance, client deliverables, and proposal support. The role requires translating complex business and technical challenges into practical recommendations and measurable outcomes while influencing senior stakeholders and collaborating with multidisciplinary teams.

Lead data engineering and platform teams in designing, delivering, and modernizing scalable enterprise data platforms. Make architectural decisions across ingestion, storage, processing, modeling, orchestration, governance, security, and serving. Establish software engineering, testing, CI/CD, infrastructure-as-code, observability, and data quality practices. Mentor engineers, guide clients through complex transformations, contribute to bids and proposals, and help teams apply GenAI with appropriate controls.

Build and operate scalable data pipelines, web scraping systems, and ML infrastructure for training, evaluating, and serving speech AI models. Responsibilities include improving GPU utilization, scheduling, observability, data quality, production reliability, and distributed-system troubleshooting. The role also contributes to MLOps practices and platform roadmap development.

Lead global sales for Sparta’s Data Marketplace, owning revenue targets, pipeline development, forecasting, pricing, and deal structuring. Sell proprietary and third-party commodity market data to quant teams, trading desks, hedge funds, and analytics groups. Partner with regional sales teams to drive upsell and new-logo opportunities, collaborate with product on roadmap and packaging, and represent the company at industry events. The role requires London or Geneva office presence three to four days weekly and international customer travel.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

Leads the enterprise data governance strategy, framework, roadmap, policies, standards, and data quality programs. Establishes metadata, lineage, master data, classification, access, and privacy practices while partnering with IT and Security to support secure AI initiatives. The role resolves cross-functional data issues, aligns governance with regulatory requirements, measures data quality, and develops the governance team in a regulated healthcare or technology environment.

Work in multidisciplinary teams to design, build and maintain data pipelines, models and analytics products using SQL, Python and modern data tools. Contribute to cloud-based data solutions (AWS/Azure), apply software engineering and data governance practices, create visualisations, and collaborate with stakeholders in Agile delivery to produce maintainable, production-ready data services.

Lead design and delivery of metadata, meta-modelling, and distributed systems. Build secure, high-quality production code, drive adoption of AI-assisted engineering, improve SDLC automation and cloud-native delivery, set validation and governance standards, mentor engineers, and influence product and technical decisions.

Build and maintain reliable financial datasets for quantitative researchers and traders. Responsibilities include extracting, cleaning, aggregating, and onboarding data from diverse sources; developing robust extraction processes; investigating data quality issues; and improving onboarding tools. The role requires close collaboration with researchers, traders, engineers, management, and external data providers in a fast-paced quantitative investment environment.

Leads Babyzone’s data, impact measurement and evaluation strategy across its national hub network. Builds end-to-end data infrastructure, longitudinal outcome tracking, dashboards and trusted reporting systems; operationalises evaluation measures including the Parent Confidence Index and Good Level of Development analysis. Designs hands-on AI and automation workflows, ensures data protection and ethical governance, works with academic partners, supports policy influence, and builds organisational data capability through team leadership and frontline engagement.

Develop and maintain Python applications, services, data processing solutions, and scalable ETL/ELT pipelines. Integrate structured and unstructured data from APIs, databases, files, and streaming systems while ensuring quality, performance, reliability, and security. Collaborate with engineering and architecture teams, contribute to data platform design, implement testing and monitoring, and support technical documentation and engineering standards.

Leads data analytics consulting projects, develops global analytics and technology offerings, and provides thought leadership for regulatory, compliance, investigations, and business matters. Designs data models, dashboards, statistical analyses, and risk-based methodologies; manages client requirements, proposals, budgets, timelines, and delivery. Supports business development, mentors junior staff, communicates with stakeholders, and advises on complex, multi-jurisdictional engagements. International travel may be required.

Designs, builds, and maintains scalable AWS data platforms, ETL/ELT pipelines, data models, and processing workflows. Uses Python, SQL, infrastructure-as-code, CI/CD, monitoring, and data quality practices to deliver secure and resilient solutions. Collaborates with architects, security specialists, and clients; troubleshoots complex issues; establishes engineering standards; and mentors other engineers. The role also requires technical ownership and consideration of governance, access control, and regulated-environment requirements.

Own data strategy and experimentation for a critical product domain, influencing senior leadership decisions through causal inference, forecasting, LTV modeling, retention analysis, pricing analysis, and scenario planning. Define key metrics, lead strategic analytical initiatives, improve measurement frameworks, and mentor senior data scientists while partnering with Product, Engineering, and Business leaders.

Support the development, testing, evaluation, and productionization of AI/ML models and applications, including LLMs, agentic systems, document AI, forecasting, and optimization. Collaborate with engineering, product, business, and client stakeholders to translate requirements into technical work, establish performance metrics, maintain governance documentation, and monitor production systems for accuracy, cost, latency, and business impact.

Build and operate reliable production data pipelines, ingestion systems, orchestration, customer data connectors, and infrastructure as code. Manage AWS-based data infrastructure using Terraform, Fivetran, AWS DMS, dbt, PostgreSQL, Lambda, and related services. Develop secure, enterprise-grade integrations for HR and payroll systems, and help connect trusted data to AI agents through MCP connectors and semantic data layers. Collaborate with product stakeholders to design scalable solutions meeting enterprise security and reliability standards.

Develop and optimize machine learning and generative AI solutions for digital agents, including LLMs, NLP, RAG, retrieval, experimentation, evaluation, and statistical analysis. Build scalable data and ML pipelines using Python, SQL, and Spark; assess model quality, reliability, safety, and business impact; and support production deployment. Collaborate with engineering, product, and data science teams while mentoring less experienced colleagues.

Lead client analytics and consultancy projects using credit bureau data, statistical modeling, SQL, and Python. Develop credit strategies, scorecards, and models; perform data preparation, exploratory and performance analysis, and communicate findings to clients, sales teams, and senior stakeholders. Support customer solution design, proposals, presentations, and regulatory considerations relating to consumer credit and consumer duty.

Lead the strategy and growth of the Data Practice at Capco, managing multidisciplinary teams and delivering high-impact analytics projects in Financial Services.

Designs, implements, integrates, configures, tests, and operates Identity and Access Management and Privileged Access Management solutions. Responsibilities include gathering requirements, defining architectures and processes, onboarding applications, managing identity lifecycles, access governance, privileged accounts, authentication, audits, documentation, testing, and production rollouts. The role supports client security transformations and requires collaboration with delivery teams, architects, stakeholders, and governance consultants.

Designs and enhances secure end-to-end client IT solutions, identifies vulnerabilities and threats, performs threat modeling and risk assessments, and recommends security controls aligned with business requirements and industry frameworks. The role produces architecture documentation, supports assurance gates, governance, compliance, risk mitigation, supplier security, and security metrics. It also involves client consulting, proposal development, stakeholder communication, and coaching junior team members.

Embedded within the commercial team, the Senior Data Analyst will own core sales and revenue metrics, improve pipeline and forecast accuracy, investigate CRM data quality, size commercial opportunities, and analyze partner, retention, and renewal performance. The role translates ambiguous business questions into actionable recommendations, defines trusted metric frameworks, communicates insights to senior stakeholders, and increases self-service analytics adoption across non-technical commercial teams.