Data Science Trainee

About the role

Join a fast‑paced, international and innovative environment as a Data Science Trainee. You will be part of a structured trainee program, working on real‑world business problems across multiple markets while collaborating closely with Data Science, Data Engineering, Product and Finance teams.

Key responsibilities

• Explore and analyse data to uncover patterns and business opportunities.
• Support the development of predictive and clustering models.
• Perform feature engineering and evaluate model performance.
• Build and validate datasets for modelling purposes.
• Work on use cases such as customer behaviour, risk, conversion, pricing and overall business performance.
• Contribute to the MLOps environment and the end‑to‑end machine‑learning lifecycle.

Required profile

• Degree or Master’s in Data Science, Economics, Mathematics, Statistics, Engineering or a related field.
• Good knowledge of Python and SQL.
• Basic understanding of machine‑learning concepts.
• Strong analytical and problem‑solving abilities.
• Curiosity about the business context behind the data.
• Willingness to learn and take ownership of analytical tasks.

Required skills

• Python
• SQL
• Scikit‑learn
• XGBoost
• DecisionTree (or similar algorithms)
• Data visualisation tools

What we offer

• Hands‑on experience with real‑world Data Science projects.
• Exposure to the full journey from data preparation to production.
• Experience with modern MLOps tools and practices.
• Opportunity to work with international teams across diverse business contexts.