Top Data Jobs in London

The Data Analyst will focus on compliance and regulatory reporting, transforming complex data into actionable insights, automating data solutions, and supporting audit requirements within the financial services sector.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As the Data Engineering Manager, you'll lead a team, manage data infrastructure, design scalable solutions, and drive data quality initiatives while collaborating with cross-functional teams.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design and implement cutting-edge data solutions for AI-driven transformations, collaborating with clients, developing scalable architectures, and supporting AI integration.

The AI Strategist will guide brands in AI strategy, conduct research on LLM behavior, and create industry-standard playbooks while collaborating cross-functionally.

Lead the data research function, manage a team of data researchers, ensure data quality, and support analytics and AI initiatives.

Lead the architecture and development of a cutting-edge data platform, focusing on data pipelines, analytics, and AI integration while mentoring engineers and collaborating cross-functionally.

Lead data analysis and modeling efforts, managing large datasets, and translating insights into actionable business knowledge while providing analytical thought leadership.

Join Lendable as a Data Scientist to develop credit risk models for US unsecured loans and credit cards, utilizing machine learning and extensive data sources.

The Senior Data Engineer will develop and manage data pipelines and models, enhance engineering efficiency, and mentor junior engineers while supporting various partner teams.

Join the Data Science team at MAGIC AI to enhance ReflectAI® tech. Collaborate on pose estimation, develop algorithms, and optimize AI models for real-time feedback, ensuring effective communication with cross-functional teams.

The Senior Data Analyst will own analytics for finance, create dashboards, ensure data quality, and communicate insights to support decision-making.

As Lead Data Analyst, you'll drive efficiency in Middle Mile and Sortation operations by leading a team, building analytical models, and influencing decisions at leadership level.

The Senior Data Scientist will build and maintain models for simulating the logistics network, addressing operational queries from finance teams about costs and efficiencies.

The Head of Data Platform will lead the data infrastructure, ensuring the data is accessible and structured for decision-making and AI systems, while managing a team of analytics engineers and collaborating with Engineering.

As a Senior Data Analyst, you will manage analytics for growth initiatives, define metrics, analyze network profitability, and collaborate across teams to enhance delivery services.

The Data Analyst will monitor model performance, investigate forecast errors, build dashboards, and collaborate with data scientists to enhance operational efficiency.

The Data Engineering Manager will lead a team to build a decentralized data platform, oversee project initiatives, cultivate best practices, and ensure continuous improvement in delivery metrics.

Develop and implement AI and machine learning models to enhance credit decisioning and affordability assessments, analyzing Open Banking data for insights.

The Lead Data Scientist drives the data science strategy, develops innovative solutions, mentors team members, and supports business development in healthcare consultancy.

As a Senior Data Analyst, you will develop analytics tools, automate workflows, collaborate with teams, interpret data, and provide actionable insights.

As a kdb+ Developer, you'll work on trade surveillance projects, collaborating with business users, developing client applications, mentoring junior developers, and analyzing data to create client reports.

The Senior Product & Growth Data Scientist will analyze user behavior, run experiments, shape product strategy, and influence growth metrics to drive company success.