Top Data Jobs in London

Develop, optimize, deploy, and monitor statistical and machine learning models for commercial lending products. Analyze alternative data sources, experiment with model optimization frameworks, identify risks, and communicate technical findings as commercial insights. Collaborate with data engineers, analysts, and business stakeholders while using Python, SQL, and AI techniques to solve complex business problems and improve borrower products.

Analyze user, product, and business data to identify improvement opportunities and guide strategic decisions. Design and evaluate A/B tests, build dashboards and reports, communicate insights to cross-functional stakeholders, and use AI and automation to improve analytical workflows. The role partners with product, engineering, and marketing teams in a consumer digital product environment.

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.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Build and deploy production machine learning models and fraud decisioning tools. Partner with business teams to identify performance gaps, automate repetitive work, run experiments, and optimize transaction-risk strategies. Write production and analytical Python code, use SQL and distributed data platforms such as Spark, Databricks, and GCP, and communicate findings to technical and business audiences. Participate in code reviews, peer collaboration, and an on-call weekend rotation approximately six times annually.

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.

Owns site maintenance planning, scheduling, work-order lifecycle management, CMMS administration, preventive maintenance programs, asset lifecycle planning, compliance controls, vendor performance, and KPI reporting. The role coordinates engineering teams, vendors, stakeholders, and global operations to maintain uptime, ensure audit readiness, implement change controls, and drive data-led maintenance improvements across data-center sites.

Direct major UK data centre and mission-critical infrastructure projects from strategy and feasibility through design, construction support, commissioning and operational readiness. Lead multidisciplinary teams, manage scope, programme, commercial performance, quality and risk, advise senior clients, oversee utilities and technical interfaces, develop proposals, strengthen accounts and grow the business. Champion safety, sustainability, technical excellence and project management capability.

The Data Analyst develops and maintains Power BI and Tableau reports, monitors data pipelines and refresh schedules, ensures data quality, and supports business-critical planning and reporting processes. The role interprets data, communicates insights, trains users, supports data governance and literacy initiatives, coordinates reporting activities, and works with stakeholders and IT Services on system improvements, cloud migration, and report deployment. Responsibilities also include workload prioritisation, documentation, regulatory data submissions, and community-of-practice activities.

Develop and maintain enterprise Power BI and Tableau reporting solutions, data pipelines, models, dashboards, and analytics using Snowflake, SQL, dbt, and Alteryx. Analyze institutional and external data to support strategic planning, forecasting, recruitment targets, and executive decision-making. Ensure data quality, reporting governance, release standards, and stakeholder satisfaction. Provide technical guidance, training, and support across the University, contribute to emerging AI-enabled analytics, and potentially line-manage junior developers.

Design and deliver a real-time liquidity observability stack and core treasury functions. Build scalable, event-driven systems, implement monitoring and control mechanisms, automate cash investment and risk tooling, and collaborate with product, data scientists and stakeholders to forecast cash flows and optimize liquidity.

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

Lead the technical direction and architecture for Arbor’s data platform, spanning transactional, analytical, and AI systems. Define target architectures, guide technical leads, support product delivery, and enable AI-first engineering through LLM orchestration, RAG, and real-time inference infrastructure. The role includes mentoring, architectural reviews, data governance, security, compliance, observability, DataOps, cloud platform cost optimization, and cross-functional collaboration with product and commercial leaders.

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.

Embedded within the commercial team, the Staff Data Analyst will own trusted metrics for conversion, contracted volume, sales, margins, pipeline, and forecasting. Responsibilities include improving forecast accuracy, diagnosing CRM and transactional data quality issues, analyzing commercial opportunities and partner performance, identifying risks and trends, and translating complex findings into recommendations for senior stakeholders. The role also promotes metric adoption and self-service analytics across non-technical commercial teams.

Serves as a strategic talent acquisition advisor to business leaders, developing workforce and hiring strategies, proactive talent pipelines, and high-quality recruiting processes. Leads the full recruitment lifecycle from intake and sourcing through assessment, offers, and onboarding coordination. Uses market intelligence, recruiting metrics, and talent insights to improve hiring outcomes, strengthen employer branding, and enhance candidate experience while ensuring compliance with employment laws and recruiting governance.

Lead the development and implementation of enterprise data governance frameworks, including ownership and stewardship models, data cataloging, definitions, quality, lineage, lifecycle management, data contracts, and metrics governance. Partner with Privacy, Information Security, Product, Engineering, and analytics teams to improve data trust, audit readiness, self-service discovery, and AI data readiness. Establish governance standards, monitor maturity and quality, and deliver organization-wide training.

Own the end-to-end design, reliability, resilience, and recovery of production data ingestion systems and pipelines. Build batch and streaming ETL/ELT workflows, establish data quality checks and SLAs, improve monitoring and alerting, resolve platform issues, reduce technical debt, and optimize performance and cost. Collaborate with stakeholders, AI teams, and international expansion initiatives while supporting time-series, textual, and event-stream data workloads.

Build the companys first data stack and data products (internal analytics and customer-facing). Work across data engineering, devops, and software tasks; ship early features, improve developer experience, document proposals, and iterate based on feedback.

Lead OTC Markets’ EMEA market data sales and business development strategy. Build distributor, exchange, buy-side, sell-side, and end-client relationships; expand regional distribution networks; develop localized growth strategies; manage client feedback and offerings; oversee business development strategy, revenue retention, and profitability. The role requires extensive capital markets sales experience, team leadership, strong prospecting skills, and occasional international travel.

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.

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.

Ensures information security controls are designed, tested, effective, and aligned with business risk. Responsibilities include maintaining ISO-aligned security management systems, conducting risk and supplier assessments, coordinating audits and remediation, managing compliance metrics, supporting incident response, governing security forums, and advising stakeholders on cyber risk, data protection, vulnerabilities, and regulatory requirements.

Build and maintain relationships with prospective and existing data partners in the alternative investment industry. Conduct outreach through phone, email, and virtual meetings; research prospects and market developments; support partner onboarding and data collection; maintain CRM records; track engagement and reporting; and collaborate with Data, Editorial, Sales, Marketing, and Events teams.

Build and maintain relationships with prospective and existing data partners in the alternative investment industry. Conduct outreach through phone, email, and virtual meetings; research prospective partners; support onboarding and data collection; maintain CRM records; track engagement and reporting; and collaborate with Data, Editorial, Sales, Marketing, and Events teams. The role requires strong communication, organization, attention to detail, and interest in financial markets and data services.