Role overview
As a Data Science Intern at Betclic, you will have the opportunity to contribute to some of our most impactful projects. You will work on real-world challenges where advanced modeling meets business needs, with a strong focus on interpretability and clear communication of results.
Your missions will include:
- Working on Implicit score optimization and content based model fine-tuning to improve recommendation systems in Casino app, with a focus on personalization performance, evaluation metrics, and model interpretability for business stakeholders.
- Exploring forecasting approaches and strategies for horse racing, enhancing player experience and helping business teams plan and optimize key decisions.
- Working on generic use cases: Fraud Classification/Detection, Identity document validation.
- Collaborating with Data Scientists, Product Owners and business teams to align models with operational needs and ensure results drive measurable impact.
This internship will give you the chance to explore a variety of topics in applied Machine Learning, while contributing to projects with direct business relevance.
What we're looking for
- Previous exposure to recommendation systems, forecasting, or customer analytics.
- Familiarity with libraries such as XGBoost, LightGBM, or deep learning frameworks.
- An interest in sports or gaming industries is appreciated, but not required.
If your application is selected, Claudia will contact you within a week for a short HR pre-screening (15 minutes). You will then meet your future supervisor and our Chief Data Officer (CDO), Iouri. Finally, you will have a closing HR interview to officially welcome you. To provide the best candidate experience, the Betclic recruitment process usually takes 4 to 6 weeks.