Role: Data Scientist
Location: Osterley, UK
Duration: Contract
Job Description: Deep understanding of sports data, including hands on experience working with event data, tracking data, or other high volume sports datasets, and converting these into actionable analytical or predictive insights.
Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata).
Advanced Python expertise with strong hands on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving.
End to end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices.
Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day to day work and career development.
Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary.
Experience designing scalable, low latency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases.
Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders.