Stagiaire Data Scientist (H/F/X)

  • Cartier
  • La Chaux-de-Fonds, Neuchâtel, Switzerland
  • 01/05/2023
Full time Data Science Big Data Statistics Biostatistics

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Reference code: 92164

Stagiaire Data Scientist (H/F/X)

La Chaux-de-Fonds, NE, CH

The history of Cartier is based on audacity and passion. We have adopted a pioneering and daring spirit that has continued to inspire our teams, across all businesses, from our boutiques to our workshops and our head offices for more than 170 years. We have more than 9,000 employees of 105 different nationalities who share an independent spirit and a commitment to excellence, and who aim to constantly enrich the house's heritage by pushing the limits of creativity.


Within the Digital Transformation & Industry 4.0 team, you contribute to accelerating the industrial process through the development and implementation of new digital transformation tools based on Artificial Intelligence.


Immerse yourself in Cartier's industrial process, your main role is to develop algorithms and solutions to solve complex problems by implementing Artificial Intelligence methodologies

Extract, organize and build, organize the data sets needed for modeling

  • By identifying valuable data sources
  • By automating the collection and pre-processing of structured and unstructured data around 3D designs and images from various databases (Windchill, SAP, SQL, BigQuery, etc.)

Build analytical and predictive models of “Machine Learning” or “Deep Learning”

  • By developing algorithms and solutions to solve complex problems (Recommendation, Computer Vision, ...)
  • By implementing Artificial Intelligence methodologies and statistical techniques to provide solutions
  • By optimizing and securing processes in Manufacturing

Support the production of models (MLOps)

  • By deploying scalable models (Real-time vs Batch)
  • By monitoring and scoring the performance of deployed models
  • By participating in the creation of CI/CD pipelines and other workflows

Work in collaboration with technical and business experts to understand the business problem

  • By identifying the needs, the main challenges to propose effective solutions
  • By explaining the methodology and supporting the adoption of the tools
  • By setting up monitoring Dashboards


  • Training in computer science, statistics, applied mathematics or equivalent
  • Hands-on experience with machine learning algorithms (e.g. Python, R)
  • Connaissance des Framework ML/DL (Scikit-learn, Pandas, Numpy, Tensorflow, Pytorch ou OpenCV)
  • Knowledge of Cloud Computing platforms (GCP, AWS) is an asset
  • Database skills, SQL/NoSQL queries, knowledge of CAD software, a plus
  • Autonomous, methodical, persevering person, endowed with a sense of observation and listening


  • We create an innovative and positive environment where we are proud to employ talent from different backgrounds, experiences and identities. We believe that when diversity and inclusion are fully embraced and reinforced, creativity and knowledge emerge to achieve excellence.
  • Experience in project management with work in autonomy and decision-making, which represents an opportunity to develop your skills in this area in an Industry 4.0 context
  • A modern work environment within a prestigious watchmaking Manufacture that puts people at the center in a benevolent setting and that prioritizes eco-responsibility in its projects


Your application is analyzed according to the requirements of the position. If you get an interview, you will meet an HR contact as well as your future manager. They will invite you to discuss your skills with them and to get to know them better. This will also be an opportunity for you to ask questions.

Throughout its history, Maison Cartier has distinguished itself through the commitment of each of its employees. We are convinced that when diversity, equity and inclusion are fully embraced, innovation and creativity emerge to deliver excellence. Regardless of visible or invisible differences, we are committed to creating an environment where everyone has an equal opportunity to reach their full potential, to be heard and to feel valued.

Entry into office: September 1, 2023, for a period of 6 months

Place of work: La Chaux-de-Fonds, Switzerland