Supply Chain Data & Innovation Internship (Remote 1x/Week)

Loreal

Paris

Hybride

EUR 16 000 - 22 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Salary €1,700/month
Remote work: 1 day/week
Public transport: 75% covered
Paid leave: 1 day/month
Learning platform access
Staff and family sales

Résumé du poste

A 6-month internship in Supply Chain at L’Oréal Groupe starting January 2027 offers €1,700 per month. You will participate in process analysis, optimization and cross-functional projects spanning forecasting, production, and delivery.

You must be enrolled in a Master 1 or Master 2 program, fluent in English and French, with strong Excel and data visualization skills. The role is hybrid with one remote day per week and monthly paid leave benefits.

Qualifications

  • Currently enrolled in a Master 1 or Master 2 program with strong analytical specialization in Supply Chain, Logistics, or Industrial Engineering.
  • Fluent in English and French; excellent mastery of Excel and data visualization tools such as Power BI or Tableau.

Responsabilités

  • Supply Chain process analysis and optimization across forecasting to delivery.
  • Innovation and transformation project management within Supply Chain.
  • Data collection, analysis and reporting to develop dashboards and KPIs.
  • Scenario modeling to assess demand variations and capacity changes.
  • Technology watch to identify best practices and drive digital transformation.
  • Cross-functional collaboration with Operations, Production, Marketing, IT and Commercial teams.

Connaissances

Supply chain
Data analysis
Excel
Power BI
Tableau
English
French

Formation

Master's student

Description du poste

A 6-month internship in Supply Chain at L’Oréal Groupe starting January 2027 offers €1,700 per month. You will participate in process analysis, optimization and cross-functional projects spanning forecasting, production, and delivery.

You must be enrolled in a Master 1 or Master 2 program, fluent in English and French, with strong Excel and data visualization skills. The role is hybrid with one remote day per week and monthly paid leave benefits.

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