Louis Vuitton Data Scientist

About Louis Vuitton

Founded in Paris in 1854, Louis Vuitton stands among the world’s most emblematic luxury maisons, renowned for exceptional craftsmanship, innovation, and the art of travel. As an employer, the Maison offers a distinctive environment where heritage and modernity meet, inviting talents to contribute to a global culture of excellence across retail, design, craftsmanship, client experience, operations, and corporate functions. Louis Vuitton values curiosity, precision, creativity, and entrepreneurial spirit, supporting employees through international opportunities, learning pathways, and a strong commitment to savoir-faire. Its teams are united by a shared ambition to craft enduring desirability and deliver exceptional experiences worldwide.

Role & Responsibilities

• Gather business requirements and define data science and AI projects to resolve operational and product-related challenges, evaluating priorities and communicating progress across stakeholders
• Build evidence-based arguments to support strategic choices and bridge technical and business teams to identify compromise solutions
• Implement data science projects and analyses addressing Louis Vuitton product and operations challenges
• Measure performance and ROI of machine learning models, comparing outcomes against existing business approaches
• Deploy implemented methods to production in collaboration with data engineers
• Present results and alerts to business teams; provide ongoing training on data and AI principles and techniques
• Continuously improve models and tools based on team feedback and operational insights

Qualifications

• Degree from an Engineering School or University (Bac+5 equivalent)
• Minimum 5 years of experience in data science, ideally in supply chain or manufacturing contexts
• Expertise in statistical techniques, descriptive and predictive modelling, and machine learning algorithms
• Recognised expertise in analysing large, complex datasets in distributed environments
• Significant experience developing data science solutions on Google Cloud Platform (GCP)
• Proficiency in Dataiku and Python
• Advanced English proficiency (written and oral)
• Excellent interpersonal skills and team collaboration mindset
• Sensitivity to luxury sector values: excellence, rigour, attention to detail, and creativity

Skills

Experience

Minimum 5 years of professional experience in data science, ideally with exposure to supply chain or manufacturing-oriented challenges. Demonstrated expertise in developing and deploying machine learning models in enterprise environments.

Education

Bachelor's degree (Bac+5 equivalent) from an Engineering School or University in a quantitative discipline.

Workplace

Culture

Louis Vuitton fosters a culture rooted in heritage, craftsmanship, and a relentless pursuit of excellence, where employees contribute to one of the world’s most iconic luxury maisons. Its workplace environment combines creativity, precision, and international collaboration, offering teams the opportunity to grow within a brand that values innovation, client experience, and long-term savoir-faire.

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.