Christian Dior Data Scientist Intern

About Christian Dior

Christian Dior, founded in Paris in 1946, stands as one of the world’s most influential maisons, uniting haute couture, ready-to-wear, leather goods, fragrance, beauty, and exceptional retail experiences. As an employer, Dior offers a culture shaped by artistic audacity, meticulous craftsmanship, and the pursuit of excellence, where heritage and innovation continually enrich one another. Its teams collaborate across ateliers, studios, boutiques, and corporate functions within an international environment that values elegance, precision, inclusivity, and entrepreneurial spirit. Working at Dior means contributing to a legacy of timeless style while helping define the future of luxury with creativity, discipline, and purpose.

Role & Responsibilities

• Work closely with Data Scientists and the Machine Learning Engineer.
• Contribute to AI projects, designing practical AI solutions for production deployment and use by business teams.
• Focus primarily on at least one internship topic: develop a new algorithm or Generative/Agentic AI application, such as a chatbot or business-process optimisation; or scale existing AI solutions to additional scopes or markets.
• Support Data Scientists by helping optimise existing models, testing state-of-the-art approaches and conducting technology monitoring.
• Support the Machine Learning Engineer with industrialising and deploying use cases and AI applications, and designing monitoring tools and documentation.

Qualifications

• Be enrolled in a Grande École engineering programme specialising in Data Science/AI or an equivalent university programme.
• Be seeking a gap-year internship between the second and third year of an engineering programme, or a final-year internship.
• Ideally have professional Data Science/AI experience beyond academic projects.
• Be curious and rigorous, with a strong interest in solving practical AI problems.
• Speak French and English fluently; English is the working language.
• Have theoretical and practical knowledge of Data Science/AI, including supervised and unsupervised Machine Learning, Deep Learning, time-series forecasting and Generative AI (LLMs).
• Have experience with LLM/agent frameworks such as LangChain, LangGraph, Google ADK or equivalent.
• Have experience using collaborative development platforms such as GitHub and task-management platforms such as Trello.
• Have experience with cloud platforms, ideally GCP.
• Ideally have worked with Dataiku.

Skills

Experience

Ideally, professional experience in Data Science/AI beyond academic projects.

Education

Grande École engineering programme specialising in Data Science/AI, or an equivalent university programme.

Culture

Christian Dior fosters a culture of refined creativity, exceptional craftsmanship, and continuous innovation, where teams are encouraged to uphold the Maison’s heritage while shaping the future of luxury. As an employer, it offers a dynamic and exacting environment that values collaboration, excellence, and the development of talent across artistic, retail, and corporate disciplines.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.