Top Data Science Jobs in London

The Head of Data Science leads a team to design, develop, and deploy impactful data products and services. Responsibilities include managing the lifecycle of data projects, ensuring quality governance, and leveraging cloud resources to support business objectives while driving a positive culture within the team.

As a Data Science Intern at Moloco, you will support the Growth Data Science team by conducting data analysis, validating data from external sources, optimizing ad campaigns, and collaborating with stakeholders to enhance products and services.

As the Senior Director of Data Science at Blue Yonder, you will lead strategic initiatives, develop AI/ML-driven solutions, and enhance customer engagement by delivering impactful insights. Your role includes overseeing data science projects, mentoring staff, and providing thought leadership in the supply chain domain.

As a Data Science Manager, you will collaborate with business partners to develop analytics solutions, oversee predictive model building using advanced analytics, and deliver insights that drive business decisions. You will mentor a team of data scientists while establishing best practices for analytics processes.

The Director of Data Science & Optimisation will lead VIOOH's optimisation and yield management strategy, developing next-gen forecasting and optimisation models while collaborating with the Data Science team. Responsibilities include defining strategies, driving partnerships, documenting capabilities, and performing ad hoc analyses to enhance services in the digital out-of-home advertising sector.

As a Senior Data Science Engineer, you'll design and develop reusable Python packages, support research of global science methods, and advocate for engineering skills across the team, contributing to innovative data science solutions and scalable applications.

The Director of Advanced Audience Creation leads oversight and management of advanced audience creation strategies, including assessing program effectiveness and maintaining a development roadmap. The role involves hands-on data analytics, team mentoring, and collaboration across various disciplines to derive audience insights and optimize marketing strategies.

The Data Science Director will lead the development and management of audience insights by analyzing data sources, curating insights for targeted audience segments, and collaborating with local market teams to optimize audience activation and campaign management.

As an Analytics Engineer, you will lead the growth and adoption of DOMO as an insights platform at PlayStation, working with various teams to gather requirements, design data visualizations, and develop solutions. You’ll also deliver insights, troubleshoot issues, and mentor team members.

The Senior Data Science Director leads a team of data scientists and machine learning engineers to drive innovative data solutions that enhance gameplay and marketing performance. Responsibilities include visionary leadership, mentorship, acting as a trusted advisor, and establishing best practices in data science. The role demands collaboration across functions to translate complex insights into actionable recommendations and ensure the team delivers impactful results.

As a Data Scientist, you'll optimize customer experiences and commercial performance by developing and monitoring predictive models, improving processes, and effectively communicating analyses to stakeholders. You'll leverage advanced statistical techniques and large datasets, contributing to the evolving MLOps platform and collaborating with multiple teams.

The Principal Consultant will lead project teams in delivering advanced analytics solutions, utilizing statistical analysis and machine learning techniques, while mentoring junior members. The role involves high-level input for client deliverables, management of client relationships, and fostering business development opportunities.

Lead the AI and data science initiatives at Howden, developing strategies and managing projects in AI and machine learning. Collaborate with global stakeholders to deliver impactful data-driven solutions while managing a team of data scientists and engineers.

The Lead Data Scientist at Capital on Tap will develop predictive models and collaborate on analytical projects impacting the customer lifecycle. The role will also involve guiding junior team members and coaching colleagues on data science techniques while ensuring seamless implementation of analytical solutions.

The Senior Applied Data Scientist will leverage machine learning and analytical techniques to derive insights from complex data sets, particularly focusing on customer experience. Responsibilities include developing and implementing applications, collaborating with client leadership, and applying statistical modeling.

The Lead Data Scientist will oversee analytics projects, generate insights, and develop methodologies to enhance market performance at Lloyd's. Responsibilities include mentoring junior team members, collaborating with various departments, and implementing data-driven solutions for effective risk oversight. The role requires engagement with senior stakeholders and a strong background in data science within the insurance industry.

The Staff Data Scientist will leverage expertise in Large Language Models (LLMs) to design, develop, and deploy AI-driven applications, collaborating with cross-functional teams to improve product features and business processes using advanced NLP technologies.