
Data Scientist
- London
- Permanent
- Full-time
- Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets.
- Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles.
- Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team.
- Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement.
- Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands.
- 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs.
- Analyse market price behaviour to improve our risk models
- 2+ years working with Python or R in a production or research setting.
- Good knowledge of betting markets and price behaviour.
- Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr).
- Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow.
- Experience working with SQL and relational databases.
- Ability to explain model behaviour through visualisations and reports.
- Familiarity with Git and collaborative development workflows
- Generous group bonus scheme
- Hybrid working
- Private medical insurance
- Pension Scheme - matched to 6%
- Ability to buy and sell holiday
- Free subscription to wellbeing app Unmind
- Entain & Enhance days
- Sharesave Scheme
We are sorry but this recruiter does not accept applications from abroad.