Top Data Jobs in London

The Head of Data & AI leads initiatives in data and AI, focusing on remediation, governance, infrastructure development, and collaboration with various teams to ensure ethical AI use and data-driven decision-making.

The Product Marketing Manager oversees internal product marketing, collaborating with various teams to create and maintain enablement materials and support product launches for Vantage Data Centers.

The Senior Associate, Data Strategy will optimize data-driven strategies, transform data into insights for clients, and ensure campaigns leverage intelligent data activation and robust analysis.

The role focuses on contract data governance, data migration, reporting, and enhancement of data processes to improve decision-making. It requires collaboration with various stakeholders to implement data solutions and maintain data integrity.

The Market Data Analyst will manage the lifecycle of market data, support trading and development teams, handle vendor relationships, ensure governance, and address data issues impacting trading or research.

As a Data Strategy Executive, you will respond to data briefs, develop insights, and collaborate across teams to enhance data offerings.

The Director of Global Client Finance Data & Platform will lead data architecture and operations, manage data pipelines, and oversee the integration and reporting of financial data, ensuring quality and accessibility for Global Client Finance's strategic analysis.

As a Data Analyst, you will analyze data to provide insights, create reports and dashboards, and support decision-making across departments.

The Senior Data Scientist will develop and maintain data science software, manipulate complex data, and lead machine learning development for audience measurement, while mentoring team members.

As a Customer Data Solution Architect, you will design scalable data solutions for retail, ensuring data consistency and driving customer insights through collaboration and compliance with data architecture principles.

Design and maintain reliable data solutions, lead a squad of engineers, develop scalable data pipelines, and ensure adherence to data standards.

The Data Quality Capabilities SME role involves building enterprise-wide data quality frameworks, tools, and processes, fostering decentralized ownership, providing third-line support, and ensuring consistent application of data quality standards across teams.

The Data & Information Risk Officer will manage data and information risk, design frameworks, ensure compliance, and collaborate across teams to mitigate data risks.

The Principal Software Engineer will enhance product features, mentor team members, and handle a variety of technical challenges within the engineering team, focusing on quality and performance.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The Data Consultant role involves building and contributing to big data solutions, data lakes, ingestion pipelines, and using various storage methods. Key responsibilities include collaborating with a cross-functional team to enhance client data strategies.

The intern will support data analytics within the Agile Program Management Office by researching AI tools, documenting data pipelines, and analyzing Power BI reports.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

The Senior Pricing Data Scientist will build and enhance ML pricing engines, run experiments, create data science products, and communicate findings effectively.

As a Senior Data Scientist, you will build and implement machine learning models for credit risk, optimize data use, and mentor junior team members.

As Lead Data Scientist, oversee project teams delivering AI solutions, mentor junior team members, and shape technical strategy for financial services clients.

As a Senior Data Scientist, you will lead teams to deliver algorithms for clients in defense, mentor junior data scientists, and ensure projects meet technical feasibility and timelines.

The Data Engineer will design, build, and maintain scalable data infrastructure, ensuring data accessibility for analysis and driving decision-making across the company.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.