Data Scientist Richemont owns some of the world's leading luxury goods Maisons, with strengths in jewellery, fine watches & premium accessories, including Cartier, Van Cleef & Arpels, Montblanc, Vacheron Constantin, etc.
We are seeking for a talented Data Scientist to join our dynamic Data Science & AI team within the Group Data Office.
You'll be part of the team that is responsible for integrating artificial intelligence across our group, and you'll be directly involved in developing AI-powered solutions that are already impacting thousands of users daily.
If you're passionate about working in a fast-paced, innovative cloud environment and eager to make a real impact on the world of luxury, we encourage you to apply.
You will be responsible for:
Designing & developing complex ML&AI-driven approaches to solve business problems?, including natural language processing (NLP), computer vision, time series analysis, recommendation systems, etc.
Leveraging Generative AI to build innovative multimodal RAG (Retrieval-Augmented Generation) systems and Agentic AI solutions.
Gathering requirements and effectively communicating developed solution to the business.
Exploring new AI techniques and technologies to drive innovation across Richemont.
Partnering with Data Scientists, Machine Learning Engineers, Analytics Engineers & IT to deliver solutions.
If you have:
Master's or PhD degree in a relevant field such as Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related Engineering discipline.
2+ years of experience in Data Science & Machine Learning, with a proven track record of developing and deploying machine learning models.
2+ years of professional experience in Python programming language and data-related libraries.
Professional experience in Google Cloud Platform or other cloud platforms, including experience with cloud-based machine learning services.
Autonomy, proactive & curious with a strong sense of ownership.
English mandatory.
Bonus if you're experienced in Google Vertex AI and Git.