Additionalinformation

Additional Information

Contract: Internship (a convention agreement is mandatory)

Location: Annecy

Duration: 6 months

Starting date: January/February 2027

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Working conditions:

• Remote work possible after your first month.
• Flexible hours: arrive between 7:00 and 9:00 a.m. with a flexible end to the day, so you can balance your weeks at school and in the company.
• Accessible workplace: dedicated parking spaces for people with disabilities, workstation and furniture adjustments as needed.

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Administrative conditions:

This internship is covered by a tripartite training agreement (convention de stage) between you, your school, and the company. Applicants who are EU nationals can apply without any specific formality. Applicants from outside the EU must hold, as of the start date, a valid residence permit or visa authorising them to complete a school-sanctioned internship in France.

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Diversity and inclusion:

Diversity is one of Salomon's five core values. We review every application against the same criteria, based solely on skills and motivation, regardless of gender, background, age, disability, orientation, or beliefs.

Our recruitment process and our work environment are designed to be accessible to everyone. If you need any adjustment at any stage of the recruitment process or in the role, just let us know and we will find the right solution together. Our company also has a dedicated disability officer.

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Recruitment process:

Here's what to expect once you apply:

1. Application review: a recruiter reviews your CV and application to assess the fit with the role and shortlists the candidates to contact.
2. Phone pre-qualification: a first call to get to know you and talk through your expectations and the role.
3. Manager interview: a meeting with your future manager to explore the position and your profile in more detail.
4. Case study: a short practical exercise so you can put your skills into a real-world context.
5. Offer: if it's a match on both sides, we make you an offer and prepare your arrival.

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Compensation:

At Salomon, internship allowances are broken down as follows:

Internship allowances:

High school diploma to bachelor's degree: €700 gross Master's degree: €950 gross Doctorate: €1,200 gross

Housing allowance:

€300 housing assistance upon presentation of a lease agreement for a property located within 50 km of the head office and monthly receipts.

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Interested in this position? Don't wait, send us your CV. We can't wait to learn more about you!

Companydescription

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.

Jobdescription

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

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