Top Data Jobs in London

Supports the firmwide privacy program by advising on privacy requirements, conducting risk and maturity assessments, developing controls, managing governance documentation, and supporting training and complex cross-functional initiatives. The role requires knowledge of global privacy laws, including GDPR and CCPA, experience with data protection impact assessments, and the ability to work independently with stakeholders across functions.

Own Gridsight’s enterprise sales expansion across GB and Ireland, managing the full sales cycle from account prioritization and consultative discovery through tenders, procurement, and contract closure. Build pipeline and forecasting processes from scratch, develop utility partner and channel relationships, and collaborate with technical, delivery, and regional leadership teams. The role targets regulated electricity distribution and system operators with complex, multi-year B2B software sales.

Develops data science and analytics solutions for Global Payments by exploring transaction flows, identifying high-impact use cases, delivering actionable insights, and supporting data-driven product strategy. Collaborates with stakeholders and product managers, translates complex data requirements into analytical solutions, promotes data products, and contributes to robust data assets and product enhancements.

Support investment teams by acquiring, cleaning, and analyzing multi-source data to test investment theses, identify inflection points, and present research. Learn fundamental investor approaches, build decision-support tools, and communicate findings clearly to Sector Data Analysts and investment teams.

Leads UK regulatory compliance and privacy oversight, serving as the Data Protection Officer. Responsibilities include DPIAs, privacy risk assessments, breach governance, data subject rights, compliance monitoring, control reviews, audits, regulatory inquiries, management reporting, issue remediation, and translating requirements into governance standards. Partners with Legal, Product, Engineering, Operations, Risk, and Compliance teams to strengthen the UK compliance framework and oversee consumer protection, conduct risk, and vulnerable customer programs.

Lead complex data analytics initiatives for top financial institutions, utilizing predictive modeling and creating dashboards. Support innovation in AI and machine learning.

Lead data architecture and cloud transformation engagements for financial services clients. Define enterprise data strategy, design scalable cloud-native data platforms, integrate governance, cataloguing, privacy and metadata capabilities, and present technical solutions to stakeholders while shaping Capco's data architecture offerings.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

Gridsight invites exceptional candidates in the United Kingdom to submit an expression of interest for future opportunities. The company develops SaaS solutions using data, machine learning, and AI to modernize electricity-grid operations, support renewable connections, and orchestrate distributed energy resources. Applicants should explain their achievements, impact, motivation, learning ability, and alignment with Gridsight’s low-ego, high-impact culture.

Develop, implement, and deploy statistical and machine learning sports models and pricing engines in Python; engineer sports data assets; build automated tests; collaborate with Trading, Product, Engineering, and QA; validate data flows and integrations; and mentor junior data scientists.

Build secure, scalable AI/ML platforms and applications to productionize research. Collaborate with AI researchers and data scientists, implement CI/CD and IaC, support experimentation environments, automate remediation, mentor junior engineers, and promote secure, responsible AI development practices.

Lead analytics for FinCrime operations: own forecasting and capacity planning, maintain data pipelines, build predictive and causal models, assess operational health and costs, implement KPI frameworks, track initiative performance, and standardise processes across forecasting, scheduling, and real-time operations.

As a Senior Data Science Engineer, you'll lead data science projects, develop algorithms, analyze datasets, and mentor junior team members to enhance trading operations and strategies.

The Sales Manager will sell data platforms and healthcare solutions to UK customers, developing relationships, managing customer issues, and discovering sales opportunities.

The Senior Data Modelling Consultant will design enterprise-grade data models, support data migrations, and enforce data governance standards for financial services clients.

As a Data Analytics Principal Consultant, you'll lead data transformation initiatives, mentor consultants, and engage with stakeholders in financial services to drive data literacy and innovation.

Lead design, build, and maintain large-scale, secure data engineering solutions. Produce and review production code, improve operational stability, drive AI-assisted engineering adoption, evaluate vendors, and shape technical strategy and team culture.

Leads software engineering for a secure, scalable cloud data platform supporting credit risk technology. Responsibilities include designing and delivering Python solutions, reviewing production code, building CI/CD pipelines, improving application resiliency, standardizing SDLC tooling, automating remediation, and guiding responsible AI-assisted engineering practices. The role also evaluates vendors and leads cross-functional delivery initiatives involving AWS, Databricks, Spark, Terraform, lakehouse architecture, observability, security, and governance.

Leads a team overseeing operational risks across technology, cyber, and data. Responsibilities include allocating resources, reviewing risk assessments, testing controls, monitoring threats, evolving risk policies and appetites, preparing executive reporting, and representing the oversight function at governance committees. The role acts as deputy to the Head of Operational Risk Oversight and provides independent challenge, strategic direction, team development, and assurance to senior management.

Own and operate production Python infrastructure supporting FX pricing, risk analytics, curve construction, and trading systems. Responsibilities include developing microservices and shared quantitative libraries, managing monitoring and alerting, maintaining CI/CD pipelines, responding to incidents, and improving system reliability and performance. The role also offers growth into pricing models, trading strategies, risk modeling, backtesting, and customer behavior modeling while collaborating with quants, traders, analysts, product managers, and engineers.

Own the end-to-end lifecycle of proprietary private markets data across EMEA, including stakeholder outreach, data acquisition, validation, maintenance, quality improvement, and coverage growth. Build relationships with fund managers, investors, and clients; identify valuable data opportunities; apply analytical judgment and AI-enabled workflows; and contribute to strategic and revenue-generating initiatives while ensuring operational excellence and reliable execution.

Lead Preqin’s EMEA private markets data team, overseeing data acquisition, quality, coverage expansion, market engagement, and strategic execution. The role requires senior people leadership, commercial judgment, stakeholder relationship management, and deep private markets expertise. The leader will also drive data modernization and AI-enabled transformation, improve operational efficiency and scalability, and collaborate with Product, Technology, Commercial, and Data teams to deliver high-quality market intelligence to clients.

Design, build, operate, and evolve scalable, reliable, observable data lake and catalog platform services. Lead technical design, develop well-tested software, support SLOs and incident learning, collaborate with stakeholders, create implementation plans, mentor engineers, and contribute to platform architecture and open-source initiatives.

Manage a named portfolio of UK telecommunications accounts, drive net-new and expansion revenue, independently build pipeline through prospecting, develop value-based AI and platform business cases, and collaborate cross-functionally to close large B2B deals.

Lead WAM data architecture and cloud transformation engagements: define enterprise data strategies, design canonical WAM data models, architect cloud-native data platforms, integrate core WAM systems, establish data quality and control frameworks, and advise senior stakeholders on technical-to-business translation.