Senior Football Data Scientist

About SkillCorner

SkillCorner is a sports-technology company using artificial intelligence and computer vision to turn broadcast, tactical and wide-angle video into automated player and ball-tracking data. Our technology helps professional clubs and organisations make better-informed decisions across recruitment, scouting, performance analysis and football strategy.

The Prediction Team combines tracking and event data to develop advanced game-intelligence and physical-performance metrics. We use machine learning and deep learning to understand player and team behaviour, and to turn complex football data into insights that support real-world decision-making.

As a Senior Data Scientist, you will develop the models behind SkillCorner’s game-intelligence and physical-performance metrics. The problems are often challenging and open-ended, so you will need to make defensible modelling decisions, assess uncertainty and build solutions that can be trusted in real football environments.

Key responsibilities

• Lead modelling projects end to end, from problem definition and data exploration through development, evaluation, deployment and ongoing improvement.

• Develop and improve machine-learning and deep-learning models for player evaluation, tactical analysis, predictive metrics and other applications involving player and team behaviour.

• Work with high-volume, high-frequency and spatiotemporal data, addressing issues such as missing data, noise, bias and model reliability.

• Navigate ambiguous problems, balancing research ambition with pragmatic solutions that meet genuine client needs.

• Collaborate with data scientists, engineers, analysts, football specialists, business stakeholders and professional clubs to turn football questions and client requirements into robust solutions.

• Help shape the team’s technical direction and standards, communicate modelling choices and limitations clearly to technical and non-technical audiences, and support less experienced colleagues.