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.

The role

As a Data Science Team Lead, you will manage a team of Data Scientists while remaining an active technical contributor. You will be accountable for the team’s delivery, technical quality, performance, development and wellbeing.

This is a management role with a significant technical component. You are expected to remain technically credible and contribute to complex work, but success will be measured primarily by the effectiveness, development and sustainable performance of the team, not only by your individual technical output.

You will:

• Manage and develop a small team of Data Scientists through clear expectations, regular feedback, one-to-ones, career conversations and performance reviews.

• Own team priorities, planning, workload allocation, capacity and delivery commitments.

• Lead complex Data Science projects while remaining technically involved in modelling, experimentation, reviews and problem-solving where appropriate.

• Set technical direction and maintain high standards across modelling, production, documentation and evaluation.

• Balance research ambition, technical quality, maintainability, delivery constraints and genuine client needs.

• Delegate effectively, and create opportunities for ownership and collaboration for optimal delivery.

• Support hiring, onboarding, promotion, succession planning and the development of future technical leaders.

• Work closely with Engineering, Football Methodology, Analysis, Product, clients and other stakeholders to ensure that the team’s work is meaningful and adopted.

• Communicate priorities, progress, risks, dependencies, capacity and resource needs clearly.

You should have:

• Extensive professional experience applying Data Science, Machine Learning and Deep Learning to complex real-world problems, with strong modelling and Python skills.

• Experience leading complete Data Science projects from problem framing through production and ongoing improvement.

• xperience with football tracking and event data, or comparable high-volume, high-frequency and spatiotemporal datasets.

• Strong technical judgement across modelling, data quality, uncertainty, production reliability, technical debt and delivery trade-offs.

• A good understanding of football and the ability to connect technical work to meaningful questions about players, teams and tactics.

• Experience providing technical leadership through project leadership, reviews, mentoring or setting technical standards.

• Demonstrated experience managing, coaching or developing Data Scientists or other technical practitioners, including feedback, career development, delegation and performance management.

• Excellent communication skills in English (French is an advantage) with a demonstrated ability to explain complex modelling to non-technical audiences.

• A collaborative and proactive approach, with a genuine interest in people management and developing technical talent.

Nice to have:

• Experience with football analytics or presenting analytical work to football clubs.