Data Science Manager

A leading global player in the online gaming and sports betting space is looking for a strategic and hands-on Data Science Manager to lead the development and delivery of high-impact data science solutions. This is a fully remote opportunity for UK-based candidates to join a high-performing, data-driven organisation focused on innovation, experimentation, and commercial outcomes.

Role

As a Data Science Manager, you’ll lead a growing team of technical data scientists and analysts, supporting commercial, product, and risk teams across the business. You’ll play a central role in designing, building, and deploying models that drive customer engagement, improve decision-making, and unlock business value at scale. You’ll balance hands-on technical work with team leadership and stakeholder engagement, working closely with heads of engineering, analytics, and commercial functions.

The successful candidate will lead data science initiatives across the organisation, ensuring effective planning, implementation, and performance monitoring of production models. They will also serve as a hands-on leader, managing the team while remaining actively involved in technical delivery when needed.

Key Responsibilities

• Drives the identification of new use cases where data science can add value, with a focus on automating or enhancing account-level decision-making (e.g. detecting bonus misuse or behavioural risk)
• Leads the Data Science team, providing line management, facilitating agile ceremonies such as sprints and retrospectives, and promoting a culture of continuous improvement and high-quality delivery
• Works closely with Data Engineering to support the robust deployment of models and ensure seamless integration with existing infrastructure and business operations
• Remains technically hands-on, contributing to the development of predictive models for identifying behavioural patterns (e.g. compliance or trading risks), as well as building systems for content automation and personalisation

Key Skills

• Brings proven experience leading data science teams within commercial, agile environments, with strong stakeholder engagement skills
• Demonstrates a solid grasp of the full model lifecycle, from scoping and development through to deployment and ongoing optimisation
• Well-versed in a range of machine learning techniques, including supervised (e.g. XGBoost, deep learning), unsupervised (e.g. clustering, PCA), and reinforcement learning methods
• Possesses strong SQL skills (ideally with BigQuery) and proficiency in Python or R; experienced with NoSQL databases such as MongoDB or Firestore
• Familiarity with modern data engineering, MLOps, and data visualisation tools is advantageous

Benefits

• Remote-first role open to UK-based candidates
• Join a fast-paced, analytics-led organisation with a strong commercial focus
• Collaborate with senior stakeholders and experienced teams across data science, engineering, and the wider business
• Influence business-critical decisions through hands-on modelling and strategic leadership
• Be part of a supportive, innovative, and high-performance culture focused on continuous improvement and agile delivery

If you’re a commercially minded data science leader looking to shape the future of customer insight and intelligent decision-making in a fast-moving environment, we’d love to hear from you.