Top Data Jobs in London

Lead software demand generation and sales for enterprise accounts. Identify upsell opportunities, develop and execute sales strategies, advise on licensing and enterprise agreements, support pre-sales solution design, and close complex software deals with partners and client managers to drive ARR.

As a Data Scientist, you will design and deliver bespoke AI solutions, work with clients on project feasibility, and ensure delivery excellence while acting as a technical advisor.

This role involves analyzing complex datasets, developing metrics, building dashboards, and collaborating with teams to enhance fraud detection strategies using ML models.

The Account Manager for Data Services will generate business opportunities, manage complex sales cycles, and nurture key relationships, particularly within regulated industries. This role involves collaboration with internal teams and the provision of ongoing client support post-sale.

Build and deliver internal data tools and platforms, support ingestion systems and promote operational excellence in a collaborative environment.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

Own a product vertical end-to-end: run discovery, write specs, prioritize backlog, ship and iterate with engineering. Build customer relationships, set product strategy, measure impact, and collaborate across teams to deliver AI-driven document workflow features for financial services customers.

Lead assessment and redesign of backend architecture to improve reliability, scalability, multi-tenancy, and security. Design core abstractions and pipelines with platform/infrastructure teams, set technical direction for scaling to thousands of customers and tens of millions of documents, raise engineering standards, and ship production-grade systems while remaining hands-on.

The Data Management Lead will oversee data management initiatives for AI transformation, focusing on data quality, governance, and stakeholder engagement while collaborating with various teams.

The Data Management Lead will oversee initiatives to improve workforce data quality, governance, and operational management, collaborating with multiple teams to establish standards and support data strategy.

Develop pricing models using SQL and Python, analyze claims, communicate insights, and collaborate with engineering on pricing strategies. Opportunity to manage a small team.

Work cross-functionally to design and execute data-driven strategies across pricing, promotions, forecasting, growth, credit risk, and product analytics. Build models and monitoring, evaluate new product/channel opportunities, present insights to leadership, validate deployed strategies, and mentor junior analysts to scale the business.

The Strategic Sales Executive will manage complex sales cycles, generate a healthy pipeline, pursue new accounts, and drive revenue growth by building relationships with senior executives in a targeted region.

Lead Maven's Market Data function operationally and technically, building AI-driven vendor analytics, contract digestion, entitlement audits, data inventory and reporting. Own AI/automation roadmap, vendor negotiations, vendor analytics, onboarding, compliance, and day-to-day operations across regions while managing a junior administrator and partnering with procurement, legal, finance, and engineering.

Lead a specialist BPA data team to manage end-to-end pension scheme data for buy-in/buy-out transitions. Ensure data accuracy, validation, reconciliations, benefit specification oversight, governance, regulatory compliance, stakeholder integration, third-party data management, and drive automation and continuous improvement to support successful scheme migrations.

Work with ML and AI engineers to design and run experiments, evaluate and refine LLM-powered agent workflows, perform feature engineering and statistical analysis, prototype ML pipeline features, investigate production failure modes, and document reproducible findings that drive improvements in underwriting systems.

Senior subject-matter expert in operational risk and controls responsible for customer data operations, index building/management, data quality, governance, automation/AI integration, and mentoring junior team members while supporting cross-functional delivery.

Design and analyse experiments, build causal and hierarchical models, and analyse partner-funnel data to improve conversion and product strategy. Translate analyses into commercial decisions, use AI to accelerate work, and collaborate cross-functionally with product, engineering and commercial teams.

The Data Governance Analyst will enhance and implement data governance frameworks, support data quality improvements, and facilitate communication across teams.

Lead and support analytics lifecycle activities: manage analytic data platforms, govern data access, design and implement reporting/BI, apply advanced quantitative modeling, deliver actionable business insights, contribute to policies, work independently on complex projects and mentor junior colleagues.

Build and improve data pipelines that ingest, normalize, and distribute European power market data. Enhance APIs, monitoring, alerting, and performance; collaborate with data scientists and market experts to expand coverage and develop new product features.

As a Senior Data Scientist, you'll analyze data to inform strategic decisions, lead experiments, and communicate insights to diverse stakeholders at Deliveroo.

The Principal Software Engineer will lead the development of scalable data pipelines and systems for AI and analytics, ensuring data quality and operational support.

As a Data Platform Engineer, you will design, build, and maintain Azure and Snowflake data platforms, develop Infrastructure-as-Code, and support CI/CD processes while troubleshooting and improving the platform.

The Senior Applications Developer and Data Specialist will develop and support core business applications and data platforms while ensuring secure development practices and engaging with business teams for process optimization and automation initiatives.