INTERNSHIP Data scientist Jr WM Demand Planning SALOMON
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
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: June or September 2026
At Salomon internship compensation is structured as follows:
Internship allowance:
- High school diploma to Bachelors degree (up to Bac 3): 700 gross
- Masters level (Bac 4/5): 950 gross
- PhD: 1200 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 dont hesitatesend us your CV as soon as possible so we can review your application!
Remote Work :
No
Employment Type :
Contract
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Amer Sports is a sporting goods company with internationally recognized brands such as Salomon, Arc'teryx, Peak Performance, Atomic and Wilson. The mountain sports company, Salomon was born in 1947 in the heart of the French Alps, the cradle of modern mountaineering. Salomon's commi ... View more
