Top Data Jobs in London

Analyze large, multi-source datasets using SQL and Python, R, or similar tools to generate insights for hotel partnerships and commercial decisions. Build reusable datasets, reporting solutions, visualizations, dashboards, and basic data workflows. Apply descriptive statistics, regression, experimentation, and causal analysis while clearly communicating assumptions and recommendations to technical and non-technical stakeholders. Collaborate with analytics, product, engineering, data, and commercial teams.

Lead growth & adoption analytics by building and maintaining agent-ready curated datasets, partnering with engineers and product teams, reviewing merge requests, defining pipelines and metrics, performing advanced SQL analyses on petabyte-scale data, and communicating actionable insights to stakeholders.

Leads enterprise data stewardship across Technology and Operations, establishing ownership, governance, quality standards, metadata, lineage, controls, and data product practices. Partners with senior business, product, and engineering leaders to scale governance operating models, resolve data risks, manage Data Marketplace onboarding and lifecycle processes, and drive organizational accountability. Mentors federated data stewards and represents data interests in enterprise governance, regulatory, and data strategy initiatives.

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.

The role involves shaping data and AI strategies for financial institutions, guiding clients in harnessing AI for competitive advantage, and leading workshops to align stakeholders.

Supports Boeing commercial aircraft maintenance, modification, and repair documentation. Responsibilities include researching and analyzing engineering source data, assessing technical requirements, maintaining technical publication elements, coordinating illustrations and stakeholder deliverables, and conducting quality reviews and validation. Training and mentoring are provided. The role is hybrid and based in Welwyn Garden City, UK, with no relocation assistance or visa sponsorship.

Supports the creation and validation of aircraft maintenance, modification, and repair documentation. Responsibilities include analyzing requirements, researching engineering source data, developing technical publication elements, coordinating illustrations and stakeholder schedules, and conducting quality reviews. The role provides training and mentorship and is hybrid in Welwyn Garden City.

As an Enterprise Architect, you will lead tech advisory growth, collaborate on solutions, manage client relationships, and mentor junior consultants within the organization, driving technology transformation for clients.

Lead complex engagements in Life Sciences Consulting, managing project teams and relationships, driving strategy and financial outcomes, while fostering a culture of excellence in the team.

Leads Zeta’s UK enterprise customer-growth strategy across retention, expansion, executive relationships, and delivery. Builds and manages a Key Account Director organization, establishes strategic account plans, coordinates cross-functional teams, identifies expansion opportunities, manages customer risk, and improves revenue retention and product adoption. The role develops repeatable customer-growth playbooks, strengthens executive engagement, and scales the model across EMEA.

Supports EMEA data governance and risk management across asset and wealth management. Responsibilities include maintaining governance standards, coordinating forums, investigating policy breaches, tracking remediation, supporting data protection activities, improving processes, managing workstreams, reporting metrics, and coordinating regulatory requirements. The role partners with Risk, Compliance, Legal, Audit, Technology, data owners, and senior stakeholders while identifying opportunities to use AI and automation.

Lead data product management for BlackRock’s enterprise Data Marketplace. Define product vision, roadmap, priorities, and delivery plans for onboarding, governance, stewardship, discovery, access, quality, and reusable data capabilities. Own the engineering backlog, align Product, Engineering, Operations, Risk, Compliance, and business stakeholders, and drive adoption through enablement, documentation, demos, and release readiness. Shape AI-ready data and scalable governance capabilities.

Establish and scale data stewardship across Technology and Operations by driving data ownership, governance, metadata, lineage, quality standards, and accountability. Support data product onboarding and lifecycle management within the Data Marketplace, monitor quality metrics, resolve governance gaps and data risks, and collaborate with business, product, engineering, and domain teams to deliver trusted, discoverable, reusable, and AI-ready data products.

Lead research, design, and evaluation of large-scale detection models for automated, fraudulent, and malicious activity. Define measurement frameworks for noisy or incomplete ground truth, mentor data science practitioners, advance AI/ML techniques, and shape long-term detection strategy. Partner with ML Engineering, Data Engineering, and Product teams to influence roadmaps and protect Cloudflare customers from evolving threats.

Define and deliver strategic reference data solutions across the Commercial and Investment Bank. Gather business requirements, create data models, lead stakeholder discussions, support adoption of core data products, and develop business cases for technology investments. The role partners with business stakeholders, product solutions, program management, data architecture, operations, and technology teams to advance compliant, high-quality party and account data initiatives.

Manage and grow major technology and financial services accounts by strengthening executive relationships, developing strategic account plans, identifying cross-sell opportunities, and protecting revenue and gross profit. Monitor contract performance, delivery risks, and opportunities while coordinating sales, marketing, product, and delivery teams to ensure client satisfaction and optimized service delivery.

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.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

Lead analytical data science for Wise’s customer support organization. Measure service quality, diagnose root causes, design metrics, evaluate interventions, and use experiments, causal inference, machine learning, NLP, and LLM techniques to improve customer outcomes. Partner with Product, Design, Operations, and Engineering to guide automation strategy, prioritize opportunities, and influence product and business decisions using customer, conversational, and operational data.

Leads strategy and delivery for a portfolio of HR data products, defining multi-year roadmaps, OKRs, backlogs, and business outcomes. Partners with HR, BI, AI/ML, Information Architecture, and Data Engineering teams to deliver governed, discoverable, high-quality data assets. Oversees data onboarding, metadata, catalog, lineage, quality, compliance, stakeholder discovery, adoption, and continuous improvement for talent acquisition and off-boarding datasets.

Lead Microsoft's strategic technology partnership with a global financial services customer. Advise executives and boards on AI, cloud, data, security, and agentic transformation; define measurable business outcomes; create transformation roadmaps; orchestrate Microsoft engineering, partner, and customer-success teams; and drive adoption, governance, compliance, and business value realization.

Leads and scales a data engineering team of 8+ engineers, owning data strategy, platform modernization, architecture, reliability, and engineering standards. Partners with product, analytics, and commercial teams to deliver scalable, secure, high-quality data solutions. Responsibilities include coaching, mentoring, roadmap ownership, stakeholder management, performance measurement, and representing data engineering with senior leadership. The role requires technical credibility across cloud platforms, data warehouses, orchestration, modeling, pipelines, infrastructure as code, and CI/CD.

Develop and maintain customer-facing analytical reporting, data pipelines, and data models. Build Python applications, ensure data quality and consistency, collaborate with analytics engineers, and enable business teams to access actionable data. The role also involves cloud data warehouse optimization, infrastructure as code, software engineering best practices, and cross-functional product collaboration within an agile SaaS environment.

The Business Consultant will engage with clients in public sectors, driving technology-enabled change via business analysis, strategy definition, and stakeholder management while mentoring junior staff.