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Data Scientist

Entain plc

Greater London

On-site

GBP 45,000 - 70,000

Full time

Today
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Job summary

A leading sports forecasting company in Greater London is looking for a Data Scientist. This role involves designing, building, and maintaining predictive models for sports forecasting and pricing. The candidate will work collaboratively to extract insights from large datasets, ensuring accuracy and reliability in forecasts. A strong foundation in data science and programming skills is essential.

Qualifications

  • Strong foundation in data science.
  • Experience in statistical and machine learning models.
  • Proficiency in programming languages for data analysis.

Responsibilities

  • Design, build, and maintain statistical or machine learning models.
  • Extract actionable insights from large-scale sports datasets.
  • Perform data cleaning and exploratory data analysis.
  • Contribute to the delivery of accurate forecasts.

Skills

Statistical modelling
Machine learning
Data analysis
Programming
Feature engineering
Job description

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.
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