Top Data Jobs in London

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.

Oversee electrical design for data center projects, including power distribution, UPS, generators, lighting, emergency systems, and related infrastructure. Coordinate with project stakeholders, lead technical reviews, ensure compliance with NEC, IEC, and local regulations, manage quality assurance, resolve technical issues, coordinate vendors, and review technical documentation. The role requires strong electrical engineering expertise, project coordination, leadership, and communication skills.

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business needs into scalable data models and reliable data products, improve data quality and observability, resolve production issues, and establish reusable engineering tools and standards. Collaborate with product and business stakeholders, contribute to architecture decisions, mentor engineers, and participate in on-call support.

Operate and architect large-scale distributed data infrastructure across Kafka, Hadoop HDFS, Ceph, SQL Server, bare-metal systems, and hybrid cloud environments. Responsibilities include capacity planning, reliability engineering, automation, observability, incident response, backup and recovery, platform tooling, and architecture decisions. The role requires expertise with petabyte-scale systems or billions of daily events, mentoring engineers, and shaping infrastructure standards across engineering organizations.

Own ACLED’s digital growth and demand-generation programs, including email marketing, automated funnels, webinars, virtual events, product communications, digital campaigns, and sales collateral. Analyze campaign performance, optimize conversion and ROI, and translate conflict data products into compelling messaging. The role collaborates with sales, research, and market-focused leadership to expand audiences, generate pipeline, and convert users, partners, and customers. It is fully remote with approximately 15% global travel.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Serve as the technical authority for enterprise customers in data security, owning the technical sales process. Deliver technical presentations, demos, and whiteboard sessions, advise on AI/ML-driven data protection, and drive outcomes through value-based selling with partners and GTM teams.

Leads North American indirect tax requirements and global tax data governance for an SAP S/4HANA transformation. Oversees U.S. and Canadian tax processes, tax determination, reporting, reconciliations, data standards, tax technology integrations, testing, deployment, audit readiness, and compliance. Partners across Tax, Finance, IT, Master Data, Analytics, Procurement, Supply Chain, and Shared Services to improve tax data quality and establish scalable global operating models.

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.

Leads the strategy, engineering, operations, and adoption of enterprise data governance platforms, including data catalogs, metadata, lineage, MDM, RDM, data quality, profiling, and governance automation. Builds and develops platform engineering and product teams, manages roadmaps, budgets, vendors, and operating models, and partners with data, AI, security, risk, compliance, and business leaders to deliver trusted, discoverable, compliant, and reusable data foundations.

Drive end-to-end B2B sales of Data and AI consulting services in the US market. Responsibilities include prospecting, pipeline generation, solution selling, account planning, business-case development, executive stakeholder engagement, partner collaboration, and closing enterprise and mid-market opportunities involving Databricks, Lakehouse modernization, data engineering, analytics, AI/ML, and GenAI.

Reviews clinical trial data for quality, consistency, and completeness; identifies and resolves discrepancies in EDC systems; cross-checks patient data across EDC, laboratory, and safety databases; supports data cleaning, interim analyses, and database lock activities; monitors site data entry and escalates risks; collaborates with clinical, data management, and operations teams; and ensures compliance with GCP, study protocols, and regulatory requirements.

The Technical Product Marketing Manager leads demo strategy and technical storytelling for Alteryx, focusing on creating demo environments and training for internal teams, influencing product communication and supporting strategic deals.

Own ETF data quality and accuracy across VettaFi’s consumer platforms. Audit and improve LLM-generated classifications, descriptions, and data extractions; build and maintain a unified ETF taxonomy and ontology; manage market data vendors; collaborate with Product, Engineering, and Marketing; and establish KPIs for data quality, completeness, timeliness, and platform performance.

Leads Carat Global’s digital, data, and technology vision while managing strategic client partnerships. Drives revenue growth, digital transformation, innovation, thought leadership, new-business pitches, platform relationships, and integrated media solutions. Partners with senior client, strategy, data, technology, and growth leaders to strengthen capabilities, develop digital roadmaps, advise clients, and improve global digital output. Also coaches talent, supports training, and ensures resources and skills align with client and business demands.

Serves as Jigsaw’s embedded data privacy advisor, guiding product, engineering, legal, and customer-facing teams on privacy compliance and commercial risk. Advises on UK, EU, and US privacy laws, cross-border data transfers, customer contracts, DPAs, AI-related questions, and privacy by design. Participates in customer calls, translates legal and technical concepts for varied audiences, and improves privacy templates, playbooks, and processes. This fractional role requires pragmatic judgment, strong communication, and flexibility to address urgent incidents.

Leads delegated authority and bordereaux data transformation, improving data quality, governance, analytics, reporting, and automation. Reviews premium, risk, and claims data for regulatory and internal compliance; investigates quality issues; develops dashboards and management information; supports outsourced provider oversight and governance committees; and provides technical guidance to stakeholders across the business.

Leads Carat Global’s digital, data, and technology vision while managing strategic global client accounts. The role drives profitable growth, digital innovation, thought leadership, new business pitches, client transformation roadmaps, platform partnerships, and integration across media, data, and technology teams. It also develops talent, strengthens digital capabilities, oversees client solutions, and raises the agency’s industry profile.

Lead high-impact AI projects for energy, transition, and environment clients. Define data science approaches, design robust software architectures, develop bespoke algorithms, mentor data scientists, assess technical feasibility, plan projects, estimate timelines, and lead delivery teams. Build client relationships, translate business problems into mathematical frameworks, contribute to thought leadership, and ensure rigorous best practices throughout the project lifecycle.

Lead data product strategy for Global Markets, defining semantic layers and data products across client, trade, market and risk domains. Drive adoption of governed data, partner with stakeholders to set roadmaps and OKRs, translate business needs into production-grade data, analytics and AI solutions, and ensure governance, lineage, quality and regulatory compliance.

Develop and improve data science and machine learning models for marketing and consumer insights, including attribution, personalization, forecasting, experimentation, and marketing measurement. Prepare datasets, define evaluation metrics, support model deployment, and generate insights from media, pricing, promotions, and syndicated data. Collaborate with product owners, data engineers, and machine learning engineers; contribute to responsible AI governance, code reviews, reusable AI assets, and mentorship of junior team members.

Develop and manage machine learning and statistical models for marketing, commercial, and digital applications. Prepare datasets, evaluate model performance, support deployment, and oversee retraining and monitoring. Apply forecasting, causal inference, Bayesian methods, optimization, experimentation, and multivariate testing to generate business insights. Collaborate with product, engineering, and business teams, contribute to reusable AI foundations, review code, mentor junior data scientists, and promote responsible AI governance.

Join Isomorphic Labs as a Software Engineer focusing on data services. Collaborate with scientists and ML researchers on software platforms, enhancing drug discovery through data engineering and service-oriented architectures.