Louis Vuitton Supply Chain Data Science Intern

Paris • France

Monday, May 19, 2025

Louis Vuitton, a prestigious name in the luxury fashion industry, is part of the LVMH conglomerate, renowned for its commitment to excellence and innovation. As an employer, Louis Vuitton offers a dynamic and ever-evolving environment where employees can immerse themselves in the rich heritage, codes, and culture of the brand. The company is dedicated to fostering talent and providing opportunities for professional growth and development.

1. Estimate and update sales forecasts across various geographical regions.
2. Utilize machine learning to enhance demand forecasting accuracy.
3. Ensure adaptability of forecasting models to economic changes.
4. Provide clear and useful explanations of predictions to Sales Planners.
5. Develop econometric proxy variables to improve model responsiveness.
6. Collaborate with Data Scientists, Data Engineers, and developers within the digital innovation team.

1. Pursuing a Master's degree or engineering school in machine learning.

1. Proficiency in Python and SQL.
2. Experience with Dataiku, Google Cloud Platform, and Power BI.
3. Strong analytical, collaborative, and results-oriented mindset.
4. Curiosity and passion for AI with a drive to innovate.
5. Fluency in English.

No prior experience required; suitable for beginners.

Master's degree or engineering school in machine learning.

Comprehensive development program including integration sessions, coaching workshops, follow-ups, and after-work events. Permanent access to the Learning App.

The workplace culture at Louis Vuitton is characterized by a dynamic and constantly evolving environment that encourages exploration, development, and innovation. Employees are supported by a collaborative team of experts and have access to a wealth of resources to enhance their skills and career growth.