Generative AI Internship (H/F)

The digitalization of our business model has strongly accelerated. For all divisions, digital platforms have become important to keep-up a steady contact between clients and our brand. Particularly, for Fragrance & Beauty, ebusiness has become the ultimate growth driver. All divisions developed omni-channel client journeys which connect physical and digital client touchpoints for a great client experience.

Part of the Europe Regional Digital teams and attached to the data department, you will actively participate in the research & development of our analytics team. Your role is to help us understand the impact of LLM technologies in our industry and highlight the most relevant use cases.

Your main missions are, as follows:

·         Conduct research and experimentation on Generative AI models for text analysis, focusing on verifying conformity in multilingual texts. Design, develop, and evaluate state-of-the-art algorithms using Generative AI techniques to identify relevant patterns and ensure alignment with specific (legal) standards across different languages.

·         Explore the potential of Generative AI in Conversational Business Intelligence (BI). Develop models capable of translating complex business questions into SQL queries, enabling the extraction of insights such as identifying top sales in our boutiques in France for a specific month.

·         Investigate the impact of Generative AI on our luxury business.

·         Collaborate with our analytics team and business division.

·         Participate in documenting and presenting research results.

Required profile:

·         In-depth knowledge of theory and practice in machine learning and content generation.

·         Experience in implementing and evaluating neural networks and content generation techniques.

·         Proficiency in Python and machine learning libraries such as scikit-learn, transformers, langchain or pytorch.

·         Ability to work in a team and communicate effectively.

·         Advanced degree in a quantitative field such as statistics, mathematics, computer science, or physics

·         Excellent communication skills to clearly convey technical findings to non-technical teams

At CHANEL, we are committed to creating an inclusive culture that fosters personal growth and development while contributing to collective performance. We believe that the uniqueness of each individual contributes to the diversity, complementarity and effectiveness of our teams. We strongly encourage you to apply, as we value the experience and potential you could bring to the House of CHANEL.