Lead development of probabilistic and machine-learning models for real-time in-play betting. Design, validate, optimize, and deploy scalable predictive models, collaborate with trading and engineering teams, mentor junior data scientists, and research novel approaches from academic and industry literature.

Lead development of probabilistic and machine learning models to price real-time, in-play betting markets. Design, validate, optimize, and deploy scalable predictive models; collaborate with traders and engineers; mentor junior team members; research and implement novel academic and industry techniques to improve accuracy and computational efficiency.

Lead and build a US-based data science capability while remaining hands-on: write code, design, deploy, and maintain production ML models, mentor junior data scientists and ML engineers, establish MLOps and data-science workflows on GCP, and align initiatives with product and global teams to deliver measurable business value.