Chanel Data Science Intern

About Chanel

Chanel is one of the world’s most revered luxury houses, founded by Gabrielle Chanel and distinguished by an enduring vision of elegance, freedom, and modernity. As an employer, the House brings together métiers ranging from haute couture, fashion and leather goods to fragrance, beauty, watches, and fine jewelry, offering employees the opportunity to contribute to a legacy defined by exceptional craftsmanship and creative audacity. Chanel values excellence, discretion, collaboration, and long-term development, fostering an environment where talent is nurtured and heritage is continually reinterpreted for contemporary clients. Its teams are united by a commitment to quality, innovation, and the timeless spirit of the brand.

Role & Responsibilities

• Participate in the full lifecycle of AI/ML projects, from problem definition and exploratory data analysis through model development and production deployment
• Develop machine learning and deep learning models using Python and frameworks such as PyTorch, Scikit-Learn, and YOLO, with exposure to RAG architectures and generative AI applications
• Engage in advanced computer vision projects involving modern deep learning architectures, Siamese networks, and synthetic data generation techniques
• Contribute to forecasting, statistical modeling, and decision-support systems designed to anticipate operational phenomena and improve decision-making
• Explore operational research and mathematical optimization approaches to solve complex resource allocation, planning, and industrial sourcing problems
• Implement models into production cloud environments (Azure and Databricks) following modern software engineering practices, CI/CD, and MLOps principles
• Maintain code quality and reproducibility through Git, Docker, and adherence to DevOps best practices

Qualifications

• Currently in the final year of studies in applied mathematics, computer science, artificial intelligence, data science, or equivalent discipline
• Demonstrated proficiency in Python with strong fundamentals in statistics, machine learning, and software development
• Solid understanding of data structures, algorithms, and software engineering principles
• Ability to work independently on open-ended problems and translate theoretical concepts into practical applications

Skills

Experience

["Prior coursework or projects in machine learning, deep learning, LLMs, computer vision, operational research, or cloud computing", "Familiarity with version control (Git), containerization (Docker), Agile methodologies, or DevOps/MLOps practices is advantageous", "Evidence of curiosity, rigor, and the ability to propose innovative solutions to complex problems"]

Education

Final year of study in applied mathematics, computer science, artificial intelligence, data science, or equivalent discipline. Internship must be formally required by the educational institution as part of the curriculum and count toward degree completion via academic credit.

Workplace

Culture

Chanel fosters a culture of timeless creativity, exacting craftsmanship, and quiet excellence, where employees are encouraged to uphold the house’s heritage while contributing to its continued innovation. The workplace environment is refined, collaborative, and deeply committed to quality, offering professionals the opportunity to grow within a globally respected maison that values discretion, artistry, and long-term vision.

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.