• Support the design and implementation of predictive models
• Conduct statistical analysis and hypothesis testing on large business datasets
• Build dashboards and visualizations in tools like Power BI to track KPIs, OKR’s and experiment results
• Collaborate with cross-functional teams to understand their data needs and provide actionable insights
• Identify trends and patterns in data to drive business strategy and performance improvements
• Clean, explore, and validate complex datasets using Python and SQL
• Translate findings into clear summaries for internal stakeholders
• Be encouraged to propose your own analysis ideas or improvements.

• Hold a category B driving license
• Currently pursuing or recently completed a degree in Mathematics, Statistics, Computer Science, or similar (if Non-EU, MUST be registered as a student for the whole duration of the internship)
• Being able to work full time (40 hours per week)
• Experience with Python (pandas, seaborn, scikit-learn) and SQL
• Solid understanding of statistics: hypothesis testing, confidence intervals, significance, etc.
• Familiarity with BI tools like Power BI (building dashboards and DAX), Qlik, or Tableau
• Strong critical thinking and problem-solving mindset
• Comfortable working independently and learning proactively
• Outstanding verbal and written communication skills in English.

Bonus Points If You Have

• Built or contributed to a predictive model in a previous project or course
• Experience with natural language processing or image data
• GitHub, portfolio, or public dashboards you can share.