Data Scientist
Data Scientist
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Job Description
Join Angstroms dynamic Modelling & Data Engineering team as we revolutionize sports forecasting with cutting-edge analytics and low-latency predictions.
Working in the Data Science Team and reporting to the Data Science Manager were looking for a Data Scientist with a sharp statistical mind and strong programming skills to help us solve complex modelling problems develop predictive products and extract insight from rich sports data. If youre passionate about sports stats and building innovative models that impact real-world outcomesthis is your chance.
Ready to turn your data skills into game-changing insights
What youll do:
Analyse sports data to deliver accurate fast and scalable forecasts
Build and maintain models using Python or R
Collaborate across data science software and engineering teams
Mentor junior team members and contribute to product innovation
Communicate insights clearly through visualisations and reports
Qualifications :
2 years in data science ideally in sports/betting
Expertise in Python or R SQL and statistical modelling
Strong knowledge of ML libraries like scikit-learn xgboost TensorFlow
Experience with data wrangling tools (Pandas dplyr) Git and visualisation
Bonus: knowledge AWS Kafkaor a passion for US sports
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
