Louis Vuitton

Data Science Project Assistant Intern

Louis Vuitton, a leading luxury fashion brand, has been redefining the industry for over 150 years. Known for its commitment to excellence and innovation, Louis Vuitton offers a unique journey for its employees, fostering creativity and passion. The brand is dedicated to providing exceptional customer experiences and values the relationships it builds with its diverse clientele.

1. Conduct literature reviews and study scientific publications related to predictive data modeling.
2. Identify and analyze customer journeys across various contact channels.
3. Model and highlight key customer journeys based on analysis.
4. Prototype and test chosen methods, leading to industrialization.
5. Collaborate with client development teams to leverage technical and business expertise.
6. Consolidate data from various sources, including transactions, web navigation history, social media, and applications.
7. Implement predictive methods to enhance customer support.
8. Potentially industrialize the selected model and establish a monitoring dashboard.

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

1. Proficiency in Python and SQL.
2. Experience with Spark, Scala, Hadoop, Google Cloud Platform, and Dataiku.
3. Analytical, collaborative, and results-oriented mindset.
4. Curiosity and passion for AI with a desire to innovate.
5. Fluent in English.

Entry-level position suitable for beginners.

Master's degree or engineering school in machine learning.

Internship position starting in April 2025, full-time for 6 months, located in Paris.

The intern will join the Digital Direction within the Data Science team at Louis Vuitton, in a work environment that promotes innovation and collaboration.