Lead and establish bet365’s US data science capability while remaining hands-on with coding, machine learning model development, deployment, and MLOps. Mentor data scientists and machine learning engineers, build production-grade AI solutions, define workflows and standards, collaborate with product and data leaders, and align with the UK data science team. Translate business problems into actionable initiatives and deliver scalable, monitored models on Google Cloud Platform.

Lead development of probabilistic, real-time betting models for in-play sports markets. Design, develop, validate, and deploy scalable, computationally efficient predictive models using Python/R and modern ML frameworks. Collaborate with trading, software and architecture teams, mentor junior data scientists, research novel approaches, and ensure models meet business objectives and production requirements in a fast-paced environment.

Lead development of probabilistic and machine learning models for real-time sports betting; validate models against historical and live data; optimise for accuracy and performance; collaborate with trading and engineering teams; mentor junior data scientists and drive technical innovation.