Top Data Jobs in London

The Data Mentor provides technical support and feedback to apprentices, ensuring high standards in teaching, learning, assessment, and learner progression monitoring.

The Software Architect will analyze existing systems, define architectural solutions, build secure cloud-based solutions, and enable better data interaction for customers.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The Senior Paralegal will manage data protection queries, conduct impact assessments, create guidelines, and ensure compliance with data protection laws.

As Legal Counsel for Data Privacy, you will provide expert legal advice on data protection laws, conduct DPIAs, manage privacy risks, and collaborate with various teams to ensure compliance.

Lead the data analytics team in delivering solutions for Financial Crime, managing projects, defining strategies, and collaborating for innovative growth.

Lead data science projects, build machine learning models, and mentor junior members while collaborating with business stakeholders to deliver data-driven solutions.

Lead and mentor a team of data scientists, driving data science best practices and creating data products to enhance gameplay and user engagement.

As a Technical Account Manager, you will manage post-sales activities, ensuring customer installations and upgrades run smoothly, while advocating for customer needs and coordinating with engineering and support teams.

As a Palantir Data Consultant, you will analyze business needs for data solutions, facilitate workshops, and manage stakeholder engagement, ensuring delivery in agile environments.

This role oversees the data engineering strategy at Sony Interactive Entertainment, driving initiatives across Player, Partner, and Enterprise data domains, ensuring high-quality, scalable data products that inform decisions and optimize operations.

The HR Data and Insights Specialist will shape reporting services, manage projects, ensure data quality, and promote a data-informed culture within the HR team.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

As a Data Scientist at Spotify, you'll analyze large datasets, collaborate with teams, and implement AI solutions for strategic insights.

Seeking a seasoned Data Engineering Architect with 12-16 years of experience in building data platforms on Azure, focusing on ADF pipeline engineering and SQL optimization. Responsibilities include designing solutions, troubleshooting data issues, mentoring teams, and enforcing best practices in data governance and CI/CD.

The Risk Data Analyst will develop credit risk management information, write SQL queries, maintain dashboards, analyze performance, and provide insights for credit risk. The role involves close collaboration with the risk management team and requires strong analytical skills.

The Lead Data Engineer will manage the data engineering function, lead a team, design data architecture, and enhance data engineering with AI solutions.

The Principal Data Analyst will lead a team to deliver analytical solutions, manage performance analysis, and optimize decision-making in the Supply domain.

As a Data Scientist, you will design and deliver data science solutions, work closely with clients, and drive delivery excellence while ensuring technical feasibility.

Lead the enterprise adoption of Data Solutions and Services, focusing on master data integration and shaping product strategy to enhance data interoperability and usability.

The Senior Applied Data Scientist will work with complex problems to deliver actionable insights using machine learning techniques and statistical modeling, collaborating with clients and teams to create scalable solutions.

The Data Analyst role focuses on using analytics, AI, and automation to improve operations at Lendable. Responsibilities include demand analysis, KPI framework development, and collaborating with operations leadership.