Top Data Jobs in London

The Senior Data Engineer will design and implement data pipelines for fraud prevention, collaborate with teams, and ensure high quality code while participating in agile methodologies.

The role involves building, scaling, and operating a validated data platform for clinical data, ensuring data integrity, and mentoring team members.

The Data Analyst will support strategic transaction workstreams by producing analytics, managing data sets, and preparing management presentations, ensuring data accuracy and alignment with reporting standards.

Oversee bordereaux management ensuring data accuracy for accounting and reporting. Manage processes, collaborate with partners, and implement improvements.

The Principal Architect will lead the design and strategy of next-generation data center architecture, focusing on software-defined infrastructure, workload management, and governance, with extensive experience required in various technologies.

The Commercial Partnerships Lead for Data Products will drive growth by forming new B2B partnerships, leading product demos, and enhancing existing data product adoption through strategic collaboration with internal teams.

The Data Engineering Manager leads a team, defines engineering standards, builds data platforms, and collaborates with stakeholders to deliver high-quality data products and insights.

The Senior Data Engineer will design and maintain scalable data pipelines, ensure data quality, and develop backend services to support WalletConnect's payments infrastructure and analytics.

The Director of Data & Analytics will lead financial crimes advisory engagements, mentor teams, ensure quality deliverables, identify business opportunities, and develop strategic relationships while managing client expectations and risks.

The Data Privacy and Product Counsel leads privacy strategy and compliance for AI products, ensuring adherence to global regulations while fostering product innovation.

As a Senior Data Platform Engineer, you will design and operate a scalable data platform, support analytics, mentor junior engineers, and drive technical excellence.

The Forward Deployed Analyst works with clients to configure synthetic populations, improve data pipelines, evaluate methodologies, and lead technical engagements to maximize product value and build customer trust.

The Digital Marketing Data Scientist will develop advanced measurement methodologies and predictive models, and leverage AI to optimize marketing performance and insights across various channels.

The Vice President of Data Privacy will support the Chief Privacy Officer and GPO Directors in operationalizing privacy frameworks, ensuring regulatory compliance, developing privacy policies, and deploying privacy management technology.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

As a Graduate Data Scientist, you'll work on fraud detection, anti-money laundering, and claims automation, implementing data engineering and developing machine learning models.

Lead a senior engineering team to design, build, and run the Customer MDM platform. Manage integrations, ensure data quality, and collaborate with stakeholders to enhance customer data capabilities.

The Associate Director will lead data visualization efforts, manage client relationships, oversee project management, develop dashboards, and mentor team members.

As a Data Engineer, you will build near real-time data solutions by collaborating within an agile team, designing scalable data pipelines, and leveraging AI tools. Responsibilities include maintaining ETL services and developing CI/CD processes.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

Lead the design and execution of advanced technical solutions for hyperscale and enterprise clients in data centers and AI environments, ensuring efficient, scalable solutions align with customer needs.

This role involves leading data science initiatives and developing AI/ML solutions while collaborating with various teams to commercialize products.