Data Scientist presso Entain

Angstrom is a proprietary sports pricing and product provider, building intricate, simulation driven pricing and risk systems to support the success of key sports brands across the Entain group.

Founded in 2018 and having established itself as a pioneer in player-level, play-by-play simulations and forecasting, Angstrom was acquired by Entain in 2023. Today, we operate as a semi-autonomous division, responsible for delivering the group’s most advanced pricing and risk capabilities with a focus on the US market. We’re committed to building the next generation of sports betting products — sports-first, recreationally-focused, and designed to make betting more engaging, more intelligent, and more fun.

We’re proud to be a high-performing, low-ego team where brilliant people are empowered and people work to become brilliant. While we’re ambitious and delivery-driven, we take real pride in how we operate and the health of our independent culture, underpinned by mutual trust and respect.

As a Data Scientist within Angstrom’s Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands.

You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment.

Ready to turn your data skills into game-changing insights?

What you’ll do:

• 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

At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning.

Depending on your role and location, you can expect to receive benefits like:

• 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

 Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.  

Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.