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The full description published by Cartier.

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Description de l’offre

L'histoire de Cartier est fondée sur l'audace et la passion. Depuis plus de 170 ans, nous cultivons un esprit audacieux et pionnier qui continue d'inspirer nos équipes dans tous les métiers, de nos boutiques à nos ateliers et sièges sociaux. Nos 9 000 collaborateurs de 105 nationalités sont unis par un esprit d'indépendance et un engagement envers l'excellence communs, s'efforçant d'enrichir sans cesse le patrimoine de notre Maison en repoussant les limites de la créativité.

We would like to talk to you about the opportunity to join our Maison for an internship as Data Scientist Intern (6 months). As Data Scientist Intern, contribute to the ARIA machine learning project by revamping and enhancing an existing model for short and long-term daily sales prediction. The objective is to update the current outdated model, adapt it to existing data sources, and extend its capabilities to include very short-term (maximum 3 days) predictions for traffic and transactions.

Ultimately, this project aims to create an intelligent assistant to help organize boutique operations and provide worldwide forecasts to inform strategic decision-making.

How will you make an impact

  • Revamping the existing machine learning model within the ARIA project
  • Adapting the chosen model to integrate with current and existing data sources
  • Extending the model's predictive scope to include traffic and transaction forecasts

Required experience & profil

E:

  • Engineering School or Master Degree with a specialization in applied mathematics or computer science
  • Analytical mindset and structuring skills
  • Fluency in English is required; French is a plus WHAT DO WE OFFER
  • We create a positive environment and highlight your personal and team performances.
  • We’re fully transparent and share with you: Maison strategies, key information, needs of others Corporate Departments.
  • We constantly educate you with: Cartier’s savoir-faire, competitive landscape, industry news, client experience best practices.

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