Data Science Intern — Remote-friendly & Impactful ML

Betclic Group; Bordeaux; On-site; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Ticket Restaurant card

Public transport reimbursement

Rooftop office space

Internal events

Free sports classes

Job summary

Betclic Group is seeking ambitious Data Science interns to work on impactful projects in a fast-paced environment at our Bordeaux offices. You will contribute to advanced modeling with a strong emphasis on interpretability and business-friendly communication.

You will join a team of data scientists and engineers, focusing on real-world challenges, including personalization, forecasting, and fraud/detection use cases, with opportunities to learn and grow in a dynamic tech-driven company.

Qualifications

• Currently enrolled in or have recently completed a Master’s degree in Data Science, Statistics, Applied Mathematics, or a related field.
• Strong analytical skills, with rigor, autonomy, and the ability to synthesize insights.
• Proficient in Python and have a good understanding of SQL.
• Desire to grow skills in communication and presentation, making complex models easy to understand.

Responsibilities

• Working on real-world challenges where advanced modeling meets business needs, with focus on interpretability and clear communication of results.
• Contribute to impactful projects with data science to shape decisions across the company.
• Collaborate with Data Scientists, Product Owners and business teams to align models with operational needs.

Skills

Python programming

SQL proficiency

Analytical thinking

Education

Master's in Data Science or related field

Tools

XGBoost

LightGBM

Deep learning frameworks

Job description

Betclic Group is seeking ambitious Data Science interns to work on impactful projects in a fast-paced environment at our Bordeaux offices. You will contribute to advanced modeling with a strong emphasis on interpretability and business-friendly communication.

You will join a team of data scientists and engineers, focusing on real-world challenges, including personalization, forecasting, and fraud/detection use cases, with opportunities to learn and grow in a dynamic tech-driven company.