Top Data Jobs in London

Lead product strategy and delivery for Aladdin's wealth management technology. Define roadmap, embed AI and API-led integrations, drive cross-functional squads, engage clients and partners, and deliver scalable solutions for discretionary portfolios, advisory services, execution-only accounts, model management, trading, and reporting.

Lead analytics for Wise Business Sales and Total Service teams by building dashboards, forecasts, cohort reports, and performance analytics. Optimize sales and service funnels, portfolio performance, conversion, churn prevention, capacity planning, and GTM strategy. Define KPIs and SLA analytics, conduct market sizing, and partner with Marketing and Analytics Engineering on lead management and reliable data pipelines, including Salesforce integrations.

Build and own scalable healthcare data applications, including Snowflake data pipelines, data-sharing solutions, and customer-facing retrieval interfaces. Develop Python backends and React frontends, modernize infrastructure with Terraform and Docker, and implement CI/CD and observability. Collaborate with oncologists, product leaders, and data scientists to translate clinical and regulatory requirements into reliable, compliant systems. Mentor engineers and help transform oncology data into actionable insights.

Develop, deploy, validate, and support machine learning models that detect A2A fraud, scams, and mule activity. Analyze large datasets, conduct customer proof-of-value exercises, improve production models, research new detection solutions, and collaborate with Product, Customer Delivery, and Data Science teams to deliver measurable customer outcomes.

Design and maintain high-volume data pipelines, analytical data models, and storage infrastructure for global KYC and customer onboarding. Modernize legacy verification data architecture using Python and Airflow, optimize data-intensive workflows, and establish data contracts, monitoring, testing, observability, and auditability standards. Collaborate with software engineers, data scientists, product analysts, and compliance stakeholders to deliver reliable metrics and reporting for onboarding funnels and financial crime controls.

Designs experiments and causal-inference analyses to improve payment product experiences and success rates. Identifies growth opportunities, translates business problems into data science initiatives, and builds measurement frameworks and north star metrics. Communicates insights to technical and non-technical stakeholders, influences product strategy, and mentors junior data scientists while owning cross-functional initiatives.

Analyze advertising and product data to uncover opportunities, evaluate features through A/B testing, quantify financial impact, build dashboards and metrics, identify root causes, and provide insights for product roadmaps and go-to-market strategies. The role requires collaboration with Product, Finance, and leadership while applying experimentation, causal inference, economic modeling, and machine learning techniques.

Lead analytics for customer operations: build capacity planning and forecasting models, own data pipelines, develop predictive and causal inference analyses, track KPIs, standardise processes, and partner with operations, WFM, quality, and training to drive data-driven improvements.

Advises partners on AI-native solution architecture, including agentic AI, RAG, multimodal AI, foundation models, and Moveworks integrations. Leads technical workshops, proofs of concept, demonstrations, executive engagements, partner training, and thought leadership. Develops reusable architectures and commercialization pathways while influencing product roadmaps and building partner AI capabilities. Requires deep AI/ML architecture expertise, enterprise integration experience, cloud knowledge, partner ecosystem experience, and lightweight coding skills.

Leads Rubrik’s NAS Cloud Direct sales organization across EMEA and APJ. Owns regional bookings, quota attainment, pipeline generation, forecasting, strategic enterprise deals, partner-led growth, and cross-functional alignment. Recruits, coaches, and develops product specialists while guiding complex data center and cloud sales conversations. Represents customer and field feedback to Product Management and Marketing. Requires technology sales leadership, data protection or cloud infrastructure experience, channel expertise, and strong forecasting and deal qualification discipline.

Own the global digital product strategy, roadmap, and advisor journey for new client acquisition across the International Private Bank. Lead discovery, AI-enabled product development, agile delivery, advisor testing, conversion measurement, and adoption. Partner with Technology, Design, Data, Marketing, Compliance, Legal, Operations, and US stakeholders to define lead management, allocation, prospecting, and onboarding experiences while influencing senior leaders across regions.

Leads change management and customer success for HR data products, developing adoption, retention, expansion, and employee experience strategies. Coaches teams on customer engagement, owns success metrics, advises on technology applications, and drives enterprise-scale adoption of AI capabilities. Partners across complex organizations to manage stakeholders, improve product outcomes, and deliver measurable value for global employees.

Own analytical direction across a broad domain, identify high-value problems, lead complex initiatives, design measurement and experimentation frameworks, and build scalable data solutions. Partner with senior cross-functional stakeholders across Product, Engineering, Operations, and other functions to influence strategy and decision-making. Champion SQL, data modelling, and analytical engineering excellence while mentoring analysts and raising technical standards without direct people management.

Design and build real-time liquidity observability infrastructure and high-throughput streaming data pipelines for global financial operations. Architect Kafka and Flink systems, implement reliable event processing, real-time aggregation, streaming data models, and sub-second analytical querying. Partner with product, data science, quantitative analysis, and treasury teams while addressing latency, resilience, regulatory, and financial trade-offs. Develop well-tested systems supporting liquidity attribution, cash positioning, transaction routing, and ML forecasting.

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.

Build and optimize high-throughput financial data pipelines on Wise’s Trino and Iceberg Lakehouse using Medallion Architecture. Develop streaming and batch transformations, data models, reconciliation checks, and audit-ready reporting datasets. Collaborate with finance, product, and engineering stakeholders, address scalability and cost constraints, mentor engineers, and contribute to reusable data infrastructure and onboarding tooling.

Serve as the primary data consultant for a business domain, translating stakeholder needs into prioritized data product requirements, conducting lightweight ad-hoc analysis (SQL, Looker), triaging requests, tracking business value and ROI, and enabling teams to self-serve while ensuring data quality, adoption and measurable impact.

Generate actionable insights supporting company and customer decisions through curated datasets, metrics, statistical modeling, and deep-dive analysis. Analyze growth drivers, customer segments and cohorts, and the financial impact of marketing and product initiatives. The role requires strong SQL, quantitative analysis, data visualization, stakeholder management, and the ability to influence business direction.

Lead analytics for FinCrime operations by building capacity-planning forecasts, owning reliable data pipelines, developing predictive and causal models, analyzing costs and operational health, tracking strategic initiatives, and establishing KPI frameworks. The role partners with workforce management, quality, training, knowledge management, product, design, and engineering teams to optimize processes, improve customer outcomes, and standardize operational planning and reporting.

Sell high-value sponsorship packages, digital advertising, and custom content solutions for Reuters Events’ sustainability portfolio. The role develops new business through proactive outreach, consultative selling, and engagement with senior global clients. Responsibilities include crafting value propositions, understanding sustainability and technology trends, matching clients with event audiences and content opportunities, and collaborating with conference production teams to maximize commercial success.

Three-month internship supporting live client projects and internal briefs across brand, marketing, and innovation strategy. The intern will research culture, human behavior, internet trends, and AI applications; contribute ideas and strategic analysis; and help develop innovative solutions for global brands. Applicants should be curious, creative, collaborative, eager to learn, and comfortable experimenting with AI prompts, vibe-coded tools, or agents.

Conduct statistical analysis, experimentation, and deep dives to identify performance drivers and generate actionable recommendations. Extract and transform data, build analytical models, create visualizations and scalable Tableau dashboards, and develop data-driven business cases. Collaborate with stakeholders to define analytical problems and communicate insights that support product development, commercial performance, and strategic decision-making.

Drive strategy and delivery for Cloudflare’s Signals web intelligence feed and related data products. Define valuable signals using network data, build products for AI labs and site owners, explore knowledge graphs and AI visibility measurement, and deliver specifications, prototypes, positioning, and launches. Partner with Engineering, Data Science, Research, GTM, Partnerships, and business development while engaging customers, developers, and AI labs.

Lead analytics for Customer Support by owning key metrics, measuring AI and self-service impact, running experiments and causal analyses, supporting capacity planning, and translating insights into operational and product decisions. Build and maintain SQL and dbt data models and pipelines, monitor automation quality, evaluate cost and customer outcomes, and communicate persuasive recommendations to senior stakeholders.

Supports the Chief Data and Analytics Officer by identifying operational risks, designing and evaluating controls, managing control issues and remediation, coordinating audits, supporting regulatory engagements, and overseeing governance and reporting. The role presents updates to senior management, collaborates with control managers, and helps establish best practices for data, AI/ML, and finance control environments.