Richemont is offering a Stage R&I - Data Science Industrielle. In this role, you will implement machine learning and advanced statistical approaches to address challenges within the luxury industry. You will join a prestigious international group committed to permanent creativity and innovation.
What You'll Do
- Explore the state of the art in Industrial Computer Vision models.
- Research Anomaly Detection, Transfer Learning, and Unsupervised Learning approaches to improve performance.
- Deploy these methods within Richemont's MLOps ecosystem.
- Collaborate with teams from the R&I department, other Maisons, and Manufactures within the Richemont group.
- Work with the rest of your team on related topics.
What We're Looking For
- Master's level engineering student.
- Good skills in: data science, machine learning, deep learning, computer vision, statistics, Python (mandatory), Git.
- Proactive, results-oriented, and a quick learner.
- Enjoys challenges, appreciates teamwork, and possesses good communication skills.
- Fluent in English and a good level of French.
- Interest in the luxury industry.
Nice to Have
- Knowledge of cloud and application deployment.
- Possession of a driver's license.
Technical Stack
- Python
- Git
- MLOps
Team & Environment
You will work in direct collaboration with the Automation and Machine Vision team of R&I, reporting to your stage supervisor (tutor).
Benefits & Compensation
- Unique experience within a prestigious international group.
- Stimulating and collaborative work environment.
- Opportunity to develop skills and work on concrete projects.
- Springboard for a career in the watchmaking industry.
Work Mode
This role is onsite at our locations in Buttes, Microcity, Neuchâtel.
Richemont is an equal opportunity employer.
