Role overview
At Chanel, the digital transformation of our business model is accelerating, especially within our Europe Regional Digital teams. As Senior Data Scientist, you will play a pivotal cross-domain role within the Analytics & AI Team, driving advanced analytics, predictive modeling, and AI/GenAI use cases across all our data domains.
Reporting to the Analytic Manager, you will lead Data Scientists across domains and collaborate closely with the AI Product Managers, ML/LLMOps engineers, and the BI and Ad Hoc Analysis squads.
Together, you will ensure a unified, scalable, and innovation-driven approach to data science across the region. Operating within an agile framework, you will oversee the end-to-end lifecycle of AI/GenAI products—from opportunity framing to industrialization and continuous performance monitoring.
*WHAT IMPACT YOU CREATE AT CHANEL
Strategic AI & GenAI Leadership**
- Lead and mentor Data Scientists in an agile (Scrum-like) environment.
- Foster a culture of experimentation, scientific rigor, and technical excellence.
- Promote responsible AI practices, model governance, and ethical AI frameworks.
- Ensure knowledge sharing, team upskilling, and quality of deliverables, both scientific rigor and technical standards.
- Continuously explore and integrate emerging AI and GenAI technologies
What you'll work on
- Advanced degree (Master’s or PhD) in a quantitative field such as statistics, mathematics, computer science, physics, or related discipline
- At least 8 years of experience as a Data Scientist, with strong expertise in modeling, advanced analytics, and machine learning roles
- Strong proficiency in Python, with extensive experience with machine learning libraries and frameworks (e.g. Scikit-learn, PyTorch)
- Experience building production-grade APIs (e.g. FastAPI)
- Strong understanding of CI/CD pipelines and production deployment workflows
- Familiarity with cloud environments (e.g., Azure, AWS, GCP)
- Proven ability to manage end-to-end AI solutions, from problem framing and data collection to modeling, deployment, and performance monitoring
- Hands-on experience with Generative AI and LLM-based systems (prompt engineering, fine-tuning, RAG architectures, embeddings, evaluation frameworks)
- Solid knowledge of model governance, monitoring, explainability, and risk mitigation
- Excellent communication skills, with the ability to translate complex technical findings into clear, actionable insights for non-technical teams
- A keen sensitivity to client experience, ideally within retail/luxury or omni-channel environments
- Excellent communication skills in French and English
At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.