Internship - Data Scientist Jr W - M Demand Planning - Salomon H/F - 74

Amer Sports is a sporting goods company with internationally recognized brands including Salomon, Arc'teryx, Peak Performance, Atomic and Wilson.

The Mountain Sport Company, Salomon was born in 1947 in the heart of the French Alps and the birthplace of modern alpinism. Salomon's commitment to innovative design and passion for mountain sports created a vast range of revolutionary new concepts in bindings, boots, skis and apparel for both Alpine and Nordic skiing and brought innovative solutions to footwear, apparel and equipment for snowboarding, adventure racing, mountaineering, hiking, trail running, and many other sports.

Through performance driven design, Salomon delivers innovation and progression to mountain sports; converting new ideas into action and expanding the limits of possibility. Salomon's heritage, culture, and commitment are tied together by one simple concept: the world's leading mountain people creating the world's leading mountain products. Salomon is responsibly committed towards the outdoor through its sustainability program. Diversity is one of Salomon's five values, therefore we are committed to creating an inclusive environment for all.

Salomon is headquartered in Annecy, France.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