Data Science Manager

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.
• Essential
• Demonstrated success managing Data Science Leads and growing high-performing teams.
• Skilled in aligning delivery across multiple projects, sports, or technical domains.
• Strong technical background in model development and deployment, with the ability to support and challenge teams when needed.
• Advanced programming experience (R/Python/C#/Java)
• Excellent communication and leadership skills across technical and non-technical stakeholders.
• Proven ability to manage hiring, performance, and team development.
• Familiar with cross-functional planning, prioritisation, and capacity management.
• Champions a culture of collaboration, experimentation, and delivery.
• Domain expertise in sports modelling or betting products.
• 2+ years managing teams and leading delivery across multiple modelling projects
• Desirable: