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:
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Designing & developing complex ML&AI-driven approaches to solve business problems, including natural language processing (NLP), computer vision, time series analysis, recommendation systems, etc.
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Leveraging Generative AI to build innovative multimodal RAG (Retrieval-Augmented Generation) systems and Agentic AI solutions.
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Gathering requirements and effectively communicating developed solution to the business.
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Exploring new AI techniques and technologies to drive innovation across Richemont.
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Partnering with Data Scientists, Machine Learning Engineers, Analytics Engineers & IT to deliver solutions.
If you have:
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Master's or PhD degree in a relevant field such as Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related Engineering discipline.
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2+ years of experience in Data Science & Machine Learning, with a proven track record of developing and deploying machine learning models.
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2+ years of professional experience in Python programming language and data-related libraries.
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Professional experience in Google Cloud Platform or other cloud platforms, including experience with cloud-based machine learning services.
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Autonomy, proactive & curious with a strong sense of ownership.
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English mandatory.
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Bonus if you’re experienced in Google Vertex AI and Git.
