Offer summary

Qualifications:

Master's or PhD in Data Science, AI, Computer Science, Statistics, Mathematics, or related field., At least 2 years of experience in Data Science and Machine Learning model development and deployment., Proficiency in Python programming and data libraries., Experience with cloud platforms like Google Cloud Platform, including cloud-based ML services..

Key responsibilities:

Design and develop complex ML and AI-driven solutions for business problems.

Leverage Generative AI to build multimodal RAG systems and Agentic AI solutions.

Gather requirements and communicate solutions effectively to stakeholders.

Collaborate with cross-functional teams to deliver innovative AI solutions.

Job description

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.