Christian Dior Data Science Intern

Parfums Christian Dior is the prestige fragrance and cosmetics Maison within the LVMH luxury group. Renowned for artisanal savoir‑faire, creative excellence and rigorous aesthetic standards, the brand combines heritage craftsmanship with a modern, global retail and digital strategy. As an employer it stresses creative ambition, high standards, and inclusive collaboration across product, retail and data teams.

1. Collaborate with Data Scientists and the Machine Learning Engineer to design and deliver production‑grade AI/ML solutions for business users across Client, Digital, Retail and Supply Chain domains.
2. Lead or contribute to a primary internship project: develop a new algorithm or a generative/agentic application (e.g., chatbot, business process optimisation) intended for deployment.
3. Scale existing AI solutions to additional scopes or markets and adapt models to new datasets and requirements.
4. Support model optimisation efforts: experiment with state‑of‑the‑art approaches, feature engineering, validation and performance monitoring to prevent model drift.
5. Assist the Machine Learning Engineer with industrialisation, deployment pipelines, monitoring tools and production documentation.

1. Current enrolment in a Grande École d’Ingénieur or an equivalent university programme with a specialisation in Data Science, Machine Learning or Artificial Intelligence.
2. Available for a full‑time internship (gap year or end‑of‑studies internship) and ideally able to commit to the duration typical of French industrial internships.
3. Ideally ~6 months of prior practical experience in Data Science/AI beyond academic projects (internships, research, or applied projects).
4. Fluent in French and English (English is used as a language of work).
5. Demonstrated intellectual curiosity, analytical rigour, collaborative mindset and strong problem‑solving skills; attention to detail and professional discipline.

1. Python
2. pandas
3. scikit-learn
4. SQL
5. LangChain
6. LangGraph
7. GitHub
8. Trello
9. GCP
10. Dataiku
11. Machine Learning
12. Deep Learning
13. Time Series forecasting
14. LLMs
15. Generative AI

Early‑career candidate; ideal profile includes approximately six months of professional experience in Data Science/AI (internships or applied roles). Candidates with strong academic projects and demonstrable hands‑on work are encouraged to apply.

Enrolment in an engineering Grande École or a university master’s programme specialised in Data Science, Machine Learning or Artificial Intelligence.

The Maison emphasises creative excellence, meticulous craftsmanship and a collaborative culture anchored in French luxury values. Parfums Christian Dior fosters an inclusive workplace that values diversity of background and thought while promoting professional development through cross‑disciplinary projects and high‑impact initiatives.