Top Data Science Jobs in London

The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.

As the Head of Treasury Analytics & Data Science, the role involves developing analytics strategy, improving machine learning models, and building insights to guide financial risk management. Leadership includes managing a high-performing team and collaborating with various departments for data-backed decision making.

The Data Science Engineer at DraftKings will develop and deploy statistical models and machine learning algorithms to resolve complex business issues, manage data science projects, ensure timely delivery, and work with teams to integrate solutions. Responsibilities include communicating insights to stakeholders and supporting automation strategies.

As a Senior Data Science Engineer, you will develop and integrate statistical and machine learning models into applications, enhance football models, write production quality code, utilize MLOps for training, and support junior data scientists. You will collaborate closely with various teams and ensure data flows are accurate and models function within the business context.

As a Manager of Data Science Engineering, you will manage a team of sports modellers, oversee the design and development of sports models and applications, collaborate with business leads, contribute to DS project architecture, and mentor engineers to ensure high-quality output.

Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.

As a Data Analytics Principal Consultant, you will lead and drive the growth of the Data practice, developing capabilities in analytics programs for financial services clients, and fostering a collaborative culture while mentoring junior data practitioners.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.