Kering Data Scientist

Paris • France

Thursday, August 28, 2025

Kering is a prestigious global luxury group known for its family-led heritage and entrepreneurial spirit. The conglomerate encompasses a collection of renowned brands celebrated for their creativity in couture, ready-to-wear, leather goods, jewelry, eyewear, and beauty. These include iconic names such as Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni, Boucheron, Pomellato, Dodo, Qeelin, Ginori 1735, along with Kering Eyewear and Kering Beauté. The group is committed to excellence, sustainability, and cultural enrichment, encapsulated in its signature: 'Creativity is our Legacy.' In 2024, Kering employed 47,000 individuals and achieved a revenue of €17.2 billion.

1. Explore and analyze data to derive meaningful insights and address key business challenges.
2. Design, deploy, evaluate, and maintain AI and Generative AI solutions in collaboration with data scientists and business stakeholders.
3. Stay informed about the latest advancements in data science and experiment with innovative approaches to solve complex problems.
4. Continuously enhance skills in statistics, machine learning, Generative AI, programming, and data visualization, tailored to the luxury industry.

1. 0-2 years of experience as a Data Scientist.
2. Solid academic background in data science, applied mathematics, computer science, or a related field.

1. Understanding of machine learning algorithms and their practical applications.
2. Familiarity with Generative AI tools and their business applications.
3. Proficiency in data exploration, quality assessment, and cleansing techniques.
4. Ability to write clean, structured, and maintainable code, preferably in Python.
5. Strong team collaboration and communication skills.
6. User-centric mindset to understand and address business needs.
7. Proficiency in written and spoken English.

0-2 years of experience as a Data Scientist, ideally with exposure to machine learning algorithms and Generative AI tools.

Bachelor's or Master's degree in Data Science, Applied Mathematics, Computer Science, or a related field.

Kering offers a dynamic and inclusive work environment that values diversity and provides equal opportunities for all employees. The company fosters a culture of collaboration and innovation, encouraging employees to express their talents and contribute to impactful projects.

Kering is dedicated to fostering a diverse and inclusive workplace where creativity and innovation thrive. The company values the unique perspectives that individuals bring, enriching the work environment and enhancing the ability to adapt in a rapidly changing world. Kering is committed to equal opportunity employment and welcomes applications from all qualified candidates.