Rolex Data Science and Industrial Vision Intern

Geneva • Switzerland

Thursday, August 14, 2025

Rolex, a prestigious name in the world of luxury timepieces, is renowned for its commitment to precision, innovation, and excellence. As part of the broader luxury industry, Rolex offers a unique opportunity for professionals to engage with cutting-edge technology and craftsmanship. The company prides itself on fostering a dynamic and enriching work environment, encouraging growth and development among its employees.

1. Reconcile and format data from various 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 analyzing data quality and correlations.
6. Perform 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. Develop strategies to enhance computational algorithm speed using Python.
11. Support research activities for numerical modeling of physical phenomena.
12. Draft reports on conducted studies.

1. Currently pursuing a Bachelor's or Master's degree in Mathematics, Data Science, Physics, Computer Science, Microtechnology, or a related field.

1. Proficiency in Python, Machine Learning, and image processing.
2. Strong analytical and synthesis abilities.
3. Excellent organizational and autonomous working skills.
4. Proactive with strong interpersonal skills.

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

Currently pursuing a Bachelor's or Master's degree in a relevant field.

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

Rolex fosters a culture of innovation and excellence, providing a stimulating environment where employees are encouraged to develop their skills and contribute to groundbreaking projects. The company values precision, dedication, and a proactive approach to problem-solving.