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Data Science Manager

About You — United Kingdom · Posted ~1 hour ago

Head Onsite Visa History ✓

Skills

Data science management People management Project management Resource planning Forecasting models Team leadership Coaching Prioritization Delivery management Technical quality management Data Science Forecasting Statistical Modeling

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Summary ✨ AI‑Generated

A Data Science Manager is sought to lead multiple sport-focused modeling teams and ensure consistency, alignment, and delivery across a portfolio of forecasting models. You will manage and develop Data Science Leads, support planning and prioritization, optimize resources, partner with senior leadership, and help scale technical capabilities while maintaining high-quality delivery.

Highlights

Leadership opportunity overseeing multiple data science teams, with responsibility for resource planning, technical quality, delivery, team development, and strategic growth of the data science function.

Description

Job DescriptionWe have an exciting opportunity for a talented organiser of people & projects to join our rapidly expanding Sports Analytics company based in London Bridge. As Data Science Manager, you are responsible for managing the Leads of multiple sport-specific modelling teams. You ensure consistency, alignment, and delivery across the portfolio of models while supporting the career development of Lead Data Scientists. You will work closely with the Head of Data Science on planning, staffing, and setting the direction for the function. You will be instrumental in scaling the data science capability and ensuring technical quality, delivery efficiency, and team cohesion across the department. Key responsibilities Resource planning of the Data Scientists to optimise departmental objectives and tasks in ongoing projects.Manage, coach, and develop Data Science Leads across multiple teams.Support Leads in planning, prioritisation, and delivery of high-quality forecasting models.Help set and maintain a high bar in technical standards, code practices, and documentation across teams.Identify and address capacity, capability, or performance challenges across the department.Collaborate with Delivery and Engineering counterparts to maintain efficient team operations.Work with the Head of Data Science to shape department-wide strategy, tooling, and hiring plans.Facilitate cross-team learning, innovation, and the sharing of best practices.Act as an escalation point for technical or resourcing issues across teams.Represent the Data Science function in cross-departmental discussions or leadership meetings.Help maintain a collaborative, supportive, and high-performance culture across the modelling organisation.