CHANEL

Senior Data Scientist (H/F)

CHANEL  •  Paris, FR (Onsite)  •  10 days ago
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Job Description

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

End to end AI/GenAI Modeling Ownership

  • Contribute to the AI roadmap aligned with business priorities

  • Design, build, fine-tune, and deploy machine learning and Generative AI models (LLMs, RAG systems, personalization engines, recommendation systems, forecasting models, etc.)

  • Ensure scalable deployment through robust MLOps and LLMOps practices (CI/CD pipelines, APIs, monitoring frameworks)

  • Implement strong evaluation methodologies, experimentation frameworks, and performance tracking

  • Stay ahead of industry trends in AI, machine learning, and GenAI methodologies

Collaboration & Business Partnership

  • Partner closely with Data Scientists and ML/LLMOps engineers to ensure production-ready, scalable AI solutions

  • Collaborate with other analytics teams to ensure complementarity between descriptive, predictive, and generative use cases

  • Build strong, trust-based relationships with divisions and markets, acting as a strategic advisor on Artificial Intelligence

  • Communicate AI/GenAI complex concepts clearly to stakeholders and non-technical audiences

YOU ARE ENERGISED BY

  • Leading multidisciplinary teams at the intersection of data science and AI innovation

  • Solving complex business challenges using machine learning and LLM-based systems

  • Seeing AI solutions deployed responsibly and delivering measurable impact

  • Exploring AI/GenAI innovation in luxury retail, clienteling, personalization, and digital transformation

WHAT YOU WILL BRING

  • 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.

CHANEL

About CHANEL

Chanel is a private company and world leader in creating, manufacturing and distributing luxury products, including Ready-to-Wear, Accessories, Fragrances, Makeup, Skincare, Jewellery and Watches. Founded by Gabrielle Chanel in 1910, the House remains dedicated to exceptional craftsmanship and offering high-end creations. Chanel employs more than 32,000 people worldwide.​

As part of this, the House promotes arts, culture and creativity, while investing significantly in key areas including research & development, sustainability, and innovation.​

Chanel is dedicated to creating the conditions for people to perform at their best, building on their strengths and enabling them to benefit from new opportunities. It offers a unique working environment where people are given time to understand the brand, the business, and develop their personal motivations. This means everyone can grow, continue to be inspired and feel included, now and in the future. The company fosters true collaboration and respect for all, grounded in the belief that diversity is essential to the success of the organisation and its people.​

Chanel is committed to rewarding people competitively, as well as offering initiatives such as wellbeing programmes, learning and development opportunities, and parental leave for all parents globally.​

Industry
Fashion & Apparel
Company Size
10,000+ employees
Headquarters
London, GB
Year Founded
Unknown
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