2 of 2 Contract Use Case Jobs in West London

limitations, and business relevance. Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases. Challenge data provenance and assumptions in legacy datasets, reframing against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards … with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases Comfortable working independently and communicating with non-technical stakeholders Supporting Data Engineering Capabilities Solid understanding of data modelling concepts and API-driven data ...

driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices … 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 ...