INTERNSHIP - Data scientist Jr W/M Demand Planning - SALOMON at Salomon

Annecy, Auvergne-Rhône-Alpes, France -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

950.0

Posted On

20 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Excel, Power BI, Tableau, Forecasting, Automation, Data Extraction, Data Transformation, Data Consolidation, Time Series, Regression, Clustering, Data Modeling, Version Control, Code Structure

Industry

Spectator Sports

Description

Company Description 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. Job Description 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 Qualifications 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 Additional Information Contract: Internship agreement with your school (mandatory) Internship location: Annecy Duration: 6 months Internship start date: April 2026 ______________________ At Salomon, internship compensation is structured as follows: Internship allowance: High school diploma to Bachelor’s degree (up to Bac +3): €700 gross Master’s level (Bac +4/+5): €950 gross PhD: €1,200 gross Housing allowance: €300 housing assistance, upon presentation of a rental lease located within 50 km of the headquarters, along with monthly rent receipts. Interested in this position? Then don’t hesitate—send us your CV as soon as possible so we can review your application!

Responsibilities

The intern will design, build, and maintain automated reports and dashboards for monitoring sales, stock, margin, and performance, while simplifying and replacing complex Excel-based tools using Python, SQL, or BI solutions. Key tasks also involve automating recurring workflows like data extraction and report generation, and supporting the improvement of demand planning tools.