Data Scientist
Wembley, London, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Football Association Limited
teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real-world applications that make a measurable impact. Key Responsibilities: Apply machine learning and predictive modelling to optimise player development, grassroots participation, and tournament planning Perform clustering and statistical analysis on historical performance data to identify tactical and developmental insights Develop computer vision … Python and R Microsoft Fabric, Azure Synapse, SQL Power BI, matplotlib, Plotly Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued Strong foundation in statistics, modelling, and data wrangling Scikit-learn, TensorFlow, PyTorch Soft Skills: Ability to translate business problems into analytical solutions Confident communicator capable of presenting insights to non-technical stakeholders Effective team More ❯
Employment Type: Permanent, Work From Home
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