Twenty First Group

Data Scientist

• Develop, train and evaluate models using statistical and machine learning techniques, focusing on probabilistic approaches.
• Contribute across the modelling lifecycle from feature engineering and training through validation and deployment.
• Query, clean and explore datasets using Python and SQL to surface patterns and support model development.
• Help build and maintain data pipelines that ingest and validate new and often messy sports data sources.
• Leverage AI tools to accelerate and improve day-to-day workflow.
• Support solutions built around specific sporting events, including fixed deadlines and go-live support.
• Apply model development discipline through version control, testing and documentation.
• Develop models behind custom-built solutions for sports events and properties.
• Contribute to broadcast, digital and fan-facing products delivered through B2C/B2B applications and APIs.
• Work within a cross-functional squad and collaborate with colleagues across the business and disciplines.

Data Scientist – Technology Solutions