Sports Data & AI Scientist
Core
Use data, analytics, and AI to support decision-making for global sports investments (football, cycling) by benchmarking performance, developing predictive models, and creating data products.
Role type
Sports Data & AI Scientist
Builds
Predictive models, dashboards, automated analytics, and conversational AI for sports practitioners
Domain
Sports analytics, machine learning, performance science
Deliverable
production ML models | dashboards & analysis
Required skills
Data science, statistics, machine learning, Python, SQL, performance analysis, predictive modelling, domain knowledge in sports, athlete/wearable data analysis
Preferred skills
Conversational AI development, cross-sport innovation
Technologies
Python, SQL
Responsibilities
Monitor and benchmark athlete/team performance using training, competition, and physiological data; Identify performance trends and outliers across the network; Develop predictive models for readiness and performance development; Build dashboards and automated analytics for continuous monitoring; Develop conversational AI for natural language data querying; Transfer performance insights across different sports
Seniority
Mid-level, hands-on IC