INTERNSHIP - Data scientist Jr Demand Planning M/F/X

As a Data Science Intern, you will work closely with planners and merchandisers to modernize reporting, automate recurring processes, and develop analytical tools that directly support business decisions.
This internship offers strong exposure to real business use cases, large datasets, and end-to-end analytical projects, from understanding business needs to delivering usable solutions.
Key responsibilities:
Design, build and maintain automated reports and dashboards for sales, stock, margin and performance monitoring
Simplify, optimize and partially replace complex Excel-based tools using Python, SQL or BI solutions
Automate recurring workflows such as:
Data extraction, transformation and consolidation
Weekly/monthly business reports
PowerPoint presentations used for internal reviews and management meetings
Support the improvement of forecasting and demand planning tools, including:
Sales forecasts
Inventory projections
Scenario simulations
Analyze large datasets to identify trends, anomalies and performance drivers across B2B and B2C channels
Collaborate closely with business teams to translate operational needs into analytical solutions
Document tools and processes to ensure scalability and knowledge sharing
Potential additional projects (depending on skills & interests)
Development of basic forecasting or machine learning models (time series, regression, clustering, etc.)
Creation of standardized datasets and data models for planning use cases
Performance comparison between forecast vs actuals
Optimization of assortment or stock allocation logic
Introduction of version control, code structure and best practices in analytics workflows
What you will gain:
Hands-on experience in a global fashion & sports company
Exposure to real-world planning, merchandising and inventory challenges
Opportunity to build tools that are actually used by the business
A strong bridge between data science and business decision-making
High level of autonomy and ownership on meaningful projects
Profile:
Student in Data Science, Engineering or Applied Mathematics (e.g. ESILV or equivalent)
Strong analytical mindset with a clear interest in business and retail / fashion / sports environments
Comfortable working with data and imperfect systems
Curious, proactive and solution-oriented
English: fluent (C1)
Technical skills:
Strong knowledge of Python (pandas, numpy, matplotlib / seaborn, etc.)
Advanced Excel skills (power user level)
Basic knowledge of SQL is a plus
Experience with Power BI, Tableau or similar BI tools is a strong plus
Interest in automation, optimization and forecasting techniques
PowerPoint automation or reporting experience is a plus

Employment type
Contract

Work arrangement
Hybrid