Kering Junior AI Scientist

About Kering

Kering is a global luxury group renowned for nurturing some of the world’s most influential Houses in fashion, leather goods, jewelry, and eyewear, including Gucci, Saint Laurent, Bottega Veneta, Balenciaga, and Boucheron. As an employer, Kering offers a distinctive environment where creative excellence, entrepreneurial spirit, and long-term sustainability converge. The Group empowers its talents to shape the future of luxury through innovation, craftsmanship, and responsible business practices. With an international culture grounded in diversity, inclusion, and shared ambition, Kering provides meaningful career opportunities for professionals seeking to contribute to exceptional brands while advancing a more sustainable and imaginative luxury industry.

Role & Responsibilities

• Contribute to AI and GenAI projects within a thematic squad (Operations, Customer or Merchandising) to address concrete business challenges.
• Help frame business problems as data science approaches by formulating hypotheses, selecting methods with support from senior colleagues, defining metrics and interpreting results.
• Design, train, evaluate and monitor ML and GenAI models suited to the squad’s needs, including forecasting, recommendation, clustering, agents and LLM-based approaches.
• Explore, qualify and prepare data for analyses and models.
• Write clear, structured and maintainable Python and SQL code, following the team’s best practices.
• Work with the Data & Agentic platform teams to deploy and monitor solutions.
• Monitor technology developments, experiment with new approaches and share learnings with the team.

Qualifications

• Knowledge of or initial experience in several of the following areas: machine learning algorithms, including boosting, clustering and time-series forecasting, and their application to concrete use cases.
• Familiarity with generative AI tools and their applications in a business context.
• Experience with data exploration, qualification and preparation.
• Ability to develop clear, structured and maintainable code in Python and SQL.
• Initial exposure to cloud platforms, ideally GCP, and MLOps practices such as Docker and CI/CD is a plus.
• User focus and ability to understand business challenges.
• Curiosity, initiative, eagerness to learn and enjoyment of teamwork.
• Fluent English is required; French and Italian are a plus. Support is available to reach an operational level of French within 6 to 12 months.

Skills

Experience

0 to 2 years of experience in data science.

Education

Ideally, a solid background in data science, applied mathematics, computer science or a similar field.

Culture

Kering fosters a dynamic, purpose-driven culture where creativity, entrepreneurship, and collaboration support the distinct identities of its luxury Houses. As an employer, the Group places strong emphasis on sustainability, diversity, and talent development, encouraging people to innovate responsibly while contributing to the future of modern luxury.

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.