Moët Hennessy Data Scientist Intern

Moët Hennessy, a distinguished division within the LVMH Group, is renowned for its prestigious portfolio of wines and spirits, including iconic brands such as Moët & Chandon, Hennessy, and Dom Perignon. As part of the Moët Hennessy Information Systems & Technology (MH IS&T) department, the company offers an innovative environment focused on leveraging data and AI to transform the industry from vineyard to glass.

1. Develop the compliance layer to ensure content adheres to local regulations and internal standards.
2. Participate in ideation, feasibility studies, and project launches for AI initiatives.
3. Engage in mathematical modeling phases for AI projects.
4. Conduct exploratory data analyses.
5. Contribute to data preparation activities, including data cleaning and feature engineering.
6. Support the design and implementation of machine learning models.
7. Design machine learning pipelines, focusing on model performance measurement and monitoring.
8. Assist in the industrialization of models, adhering to group standards and MLOps principles.
9. Document AI projects comprehensively.
10. Contribute to the technological watch of the CoE Data & AI.

1. Enrollment in a Master’s program in Data Science (Master 1 or Master 2).

1. Proficiency in Python.
2. Understanding of software development best practices.
3. Knowledge of Dataiku.
4. Familiarity with GCP services, particularly Cloud Run and Vertex AI.
5. Professional proficiency in English and fluency in French.
6. Autonomy and proactivity.
7. Analytical and synthesis skills.
8. Ability to simplify complex concepts.
9. Strong interpersonal and writing skills.

Entry-level experience suitable for students enrolled in a Master's program in Data Science.

Enrollment in a Master’s program in Data Science (Master 1 or Master 2).

The internship offers a comprehensive learning experience in a leading luxury brand's data and AI division, with exposure to cutting-edge technologies and methodologies.

Moët Hennessy fosters a culture of innovation and excellence, encouraging collaboration and continuous learning within its dynamic and diverse teams. The company values creativity and initiative, providing a supportive environment for professional growth.