Rolex Data Science and Industrial Vision Intern

Biel/Bienne • Switzerland

Friday, February 7, 2025

Rolex, a paragon of luxury and precision, is renowned for its exceptional timepieces that epitomize elegance and craftsmanship. As part of the esteemed Rolex family, employees are immersed in a culture that values innovation, excellence, and a commitment to the highest standards of quality. The company offers a dynamic and inspiring work environment where individuals are encouraged to contribute to the legacy of an iconic brand.

1. Reconcile and format data from diverse sources.
2. Define optimal machine learning approaches based on data and problem-solving requirements.
3. Characterize the performance of selected algorithms.
4. Implement relevant data visualization methods.
5. Establish strategies for data quality analysis and correlation assessment.
6. Apply necessary transformations to generate potential combined variables.
7. Explore image parameter extraction.
8. Develop semi-automated analysis reports.
9. Support data analysis for process engineering.
10. Enhance algorithm computation speed using Python.
11. Assist in research activities for numerical modeling of physical phenomena.
12. Draft reports on conducted studies.

1. Bachelor's or Master's degree in Mathematics, Physics, Computer Science, Microtechnology, or equivalent.

1. Proficiency in Python, machine learning, and image processing.
2. Strong analytical and synthesis capabilities.
3. Meticulous, organized, autonomous, and proactive.
4. Excellent interpersonal skills.

No prior professional experience required, but relevant academic projects or internships are advantageous.

Bachelor's or Master's degree in relevant fields.

The position offers a stimulating environment, excellent working conditions, and top-tier social benefits.

Rolex fosters a culture of precision and innovation, where employees are part of a legacy of excellence. The workplace is characterized by a commitment to quality and a supportive atmosphere that encourages professional growth and development.