About

• Develop and operationalise analytics concepts, bringing them from research to product in collaboration with our Engineering, Product, and Performance teams.
• Be a key contributor in making data science a game changer in elite sport and the defence sector, working with teams internally and with our clients to refine how analytics impact performance, as well as tackling unique data science challenges faced by our clients.
• Expand and improve our Intelligence Platform, creating impactful models that inform player development, talent identification, and team performance, while also contributing to R&D efforts for new, cutting-edge product features.
• Build pipelines and models that integrate seamlessly with our existing infrastructure.
• Contribute to the development of performance dashboards, in-depth reports, and data-driven insights that aid coaches, medical staff, and performance departments, and support clients in addressing unique analytical challenges.
• Present your work frequently, both internally and to clients, ensuring insights are communicated clearly and effectively.

• 3–5 years of industry experience in a data science role, preferably in a research and development capacity in a software company.
• Strong programming skills, with experience in Python is essential. Your code should be clean, organised, and easy to read.
• Experience building models and developing data and analytical pipelines to solve real-world problems.
• Solid understanding of machine learning/statistical theory, with practical experience applying a range of techniques.
• Familiarity with deploying models in production environments.
• Strong communication skills – the ability to explain complex data science concepts to non-technical stakeholders and influence decision making through your work.
• Ability to work with internal and external teams to iteratively arrive at solutions that fit their needs.
• Bachelor’s/Master’s in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field.

• Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar.
• Any experience training or implementing Large Language Models and related generative AI technologies would be a plus.
• Strong time management skills and the ability to break tasks into manageable parts.
• Ability to form relationships across teams and communicate effectively with diverse stakeholders.
• Desire to assist other team members, influence positively, and fill gaps where needed.
• Experience working with professional sport or defence data, or having experience with either industry would be potentially beneficial.