Sports Quantitative Analyst (Remote)
London - Sportsbook
Competitive comp
I’m working with a leading global gaming technology and data platform that’s looking for experienced Quant Analyst/ Data Scientist / Machine Learning Engineer to join their growing analytics team.
You’ll work closely with senior data scientists, data engineers, and quants to develop and deliver machine learning models that power decision-making across multiple brands and markets.
This is a great opportunity for a hands-on mid-level data scientist who’s comfortable owning end-to-end model development, from experimentation to productionisation, in a fast-paced and data-rich environment.
You’ll need:
* 2–5+ years’ experience in data science or ML (not a graduate role; sports background a plus)
* Strong Python skills (pandas, numpy, scikit-learn, etc.)
* Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods
* Solid grasp of statistics, probability, and applied maths
* Proficiency in SQL, familiarity with NoSQL
* Comfortable using Git and Jupyter notebooks
* A practical, problem-solving mindset with a focus on clean, reliable delivery
Nice to have:
* Experience with R or other statistical tools
* Exposure to model deployment / MLOps environments
* Familiarity with high-volume digital products or gaming / sports analytics