Top Data Jobs in London

Reviews clinical data within Syneos Health’s clinical solutions and drug development services, collaborating with cross-functional teams to support customer and study objectives. The posting provides limited role-specific responsibilities and qualifications.

Supports clinical data review activities within Syneos Health’s life sciences and drug development services environment. The description provides limited role-specific responsibilities, but the position likely contributes to reviewing and ensuring the quality of clinical trial data while collaborating with clinical solutions teams and sponsors.

Collects, cleans, analyzes, and models data to support operational, commercial, and product decisions. Maintains data quality, develops dashboards and reports, identifies trends, and presents actionable insights to technical and non-technical stakeholders. Collaborates across business functions on data-driven initiatives and contributes to improved analytical tools, processes, and solutions.

Drive sales growth for Fluke’s data centre solutions across the UK, Ireland, and Nordics. Responsibilities include territory planning, prospecting, pipeline generation, forecasting, distributor and partner management, customer relationship development, product demonstrations, training, proposals, negotiations, CRM management, and industry events. The role requires technical understanding of data centre applications, consultative selling skills, and frequent engagement with end users, integrators, consultants, and channel partners.

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.

Lead and build a new platform engineering team responsible for cloud-agnostic deployments across AWS, other clouds, private cloud, and on-premises environments. Own Kubernetes infrastructure, Terraform, GitOps, CI/CD, observability, reliability, compliance automation, FinOps, and AI/ML infrastructure. Hire and develop engineers, establish operating standards, support SOC 2, ISO 27001, and GDPR controls, and deliver portable, secure, auditable platform foundations for data catalog, knowledge graph, and integration services.

Own and scale high-throughput batch and streaming data pipelines for maritime telemetry and predictive analytics. Design and optimize Apache HBase storage architectures, operate containerized AWS infrastructure, and establish reliability metrics for pipeline performance and SLAs. Collaborate with data scientists, product managers, and SRE teams to deliver production-grade infrastructure. Mentor engineers, improve code review standards, and use AI-assisted development tools.

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Model, harmonize, curate, and validate disease, phenotype, and biomarker data for pharmaceutical clients. Author LinkML schemas, map data to biomedical ontologies, manage controlled vocabularies, review AI-generated curation, define quality checks, integrate disease models with omics domains, and support engineering pipelines. The role also involves scientific stakeholder engagement, client communication, and creating protocols for consistent data curation.

Designs challenging competitive data science and machine learning tasks, reproducible execution environments, reference solutions, automated tests, and evaluation criteria. Uses Python, statistical modeling, mathematical reasoning, and debugging to assess AI coding agents, identify data leakage and implementation flaws, validate solution correctness, and document methodologies. Requires a verifiable Kaggle Expert-level profile, strong practical programming skills, and the ability to independently test and explain technical solutions.

Lead revenue growth for Execo’s AI data services business. Own annual bookings and revenue targets, define go-to-market strategy, lead complex enterprise deals, expand strategic accounts, develop technology partnerships, and build scalable sales motions. The role requires executive-level engagement with AI labs, model builders, and enterprise clients, along with disciplined forecasting, pipeline management, pricing input, and collaboration with delivery and marketing teams.

Leads the vision, roadmap, delivery, launch, and ongoing operation of enterprise data products. Defines data requirements, quality standards, models, SLAs, lineage, and success metrics while balancing business value, risk, capacity, and strategy. Partners across engineering, governance, security, and business teams, represents UK/EU stakeholders, drives practical AI adoption, and manages a team of data product managers and analysts through hiring, coaching, and performance development.

Build synthetic data pipelines, evaluation systems, benchmarks, verifiers, quality metrics, and grading mechanisms for legal AI models and agentic workflows. Partner with researchers and legal experts to translate expert judgment into measurable criteria, investigate model failures, safeguard data quality, and connect customer feedback to improved training data and evaluations.

Develop and convert new business opportunities across financial services and enterprise technology markets. Build qualified pipelines, engage senior stakeholders, manage complex sales cycles, create proposals, negotiate contracts, and close deals. The role requires consultative selling of technology, data, or consulting solutions, accurate CRM forecasting, cross-functional collaboration, industry engagement, and regular client relationship building in London.

Develops and governs enterprise data architecture, including conceptual, logical, and physical data models; master and reference data standards; metadata, lineage, data flows, and data quality controls. The role leads architecture designs across integrated technologies, documents current and future-state landscapes, resolves cross-functional data issues, assesses risks and trade-offs, and aligns programs with enterprise data principles and business objectives.

Owns end-to-end people analytics and Power BI reporting, including semantic models, DAX, Power Query, workforce insights, executive reporting, regulatory submissions, and predictive analytics. The role improves automation, data quality, governance, and standardization while translating workforce data into actionable recommendations. It also coaches analysts and contributes to the Analytics Centre of Excellence.

Own and improve Power BI reporting for supply chain and procurement. Analyze supplier performance, costs, service, inventory, demand, and operational efficiency. Build semantic models, DAX measures, datasets, and consistent KPIs. Investigate trends and root causes, recommend actions, improve data quality and automation, and support reporting adoption across technical and non-technical stakeholders.

Own WGSN’s data platform architecture, modeling, reliability, governance, and cost effectiveness. Lead a team of five data engineers and external partners while designing the trend spine, integrating structured and unstructured data, guiding a future platform rebuild, and establishing AI-ready data foundations. The role also involves senior architecture collaboration, vendor and technology decisions, GDPR compliance, and introducing AI-assisted engineering practices.

Leads Sony Interactive Entertainment’s global privacy legal program, managing privacy professionals and developing policies, compliance practices, privacy-by-design processes, vendor assessments, impact assessments, training, incident response, and executive reporting. Advises on global privacy laws including GDPR and CCPA, partners with product, security, compliance, and business teams, and engages with regulators and customers.

Lead a team of 10 Data Security Specialist Account Executives across EMEA and APJ. Responsibilities include recruiting and coaching sales talent, managing regional business plans and forecasts, collaborating with sales, marketing, product, services, and partners, and driving revenue attainment. The role requires software or security sales experience, data security leadership, regional management, C-level selling, and familiarity with AI/ML technologies.

Customer Data Scientist responsible for tuning AML and fraud detection models using live transaction data. Investigates detection performance, missed cases, alert quality, and pattern drift; validates changes through backtesting and sample review; and presents findings to customer risk, compliance, and data science stakeholders. The role requires translating model performance into business value, documenting regulatory defensibility, partnering on account strategy, and feeding customer insights into product and model improvements.

Leads Talos’s digital asset data business, owning its P&L, product strategy, commercial model, client outcomes, and growth. Sets packaging, pricing, distribution, and investment priorities for self-service and enterprise offerings. Oversees research, product, and data science teams while partnering with sales, marketing, engineering, and executives. Builds the data business brand, develops a high-performing team, and drives retention, expansion, forecasting, and sustainable revenue growth.

Support end-to-end recruitment for Technology, Data and AI roles: sourcing via LinkedIn Recruiter, screening CVs, scheduling interviews, assisting offers and onboarding, maintaining ATS and Excel trackers, and using AI tools to improve sourcing and administration.

Lead Workday data conversion activities across concurrent client projects, managing scope, risk, staffing, budgets, methodology, validation, and deliverables. Facilitate requirements discussions, investigate conversion issues, improve internal tools and processes, mentor team members, and communicate escalations. The role requires HRIS experience, Workday certification, database and SQL knowledge, consulting and project management experience, and travel up to 35%.

Advise leading technology companies on UK tech policy and public affairs. Responsibilities include developing policy positions, monitoring political and regulatory developments, drafting consultation submissions and parliamentary materials, preparing clients for select committees, advising on stakeholder strategy, managing client accounts, mentoring colleagues, and supporting business development.