Rolex Data Scientist Intern

Biel/Bienne • Switzerland

Monday, February 3, 2025

Rolex, a paragon of luxury and precision, stands as a beacon in the horological world. As part of its commitment to excellence, the brand offers unparalleled opportunities for professional growth and innovation. Within the esteemed Quality, Safety, and Environment department, individuals are empowered to contribute to groundbreaking projects that uphold the brand's legacy of perfection.

1. Adapt and integrate an open-source diffusion algorithm into existing systems.
2. Format and prepare labeled data for processing.
3. Retrain the model for specific applications.
4. Evaluate model performance using initial examples.

1. Bachelor's or Master's student in Data Science, Robotics, Physics, Mathematics, or Engineering Sciences with strong machine learning knowledge.
2. Proficiency in Python.
3. Fluency in French.
4. Analytical and synthetic thinking with a solution-oriented and autonomous approach.
5. Strong interpersonal and communication skills.

1. Machine learning expertise
2. Python programming
3. Data analysis
4. Problem-solving
5. Effective communication

No prior professional experience required, but a strong academic background in relevant fields is essential.

Bachelor's or Master's degree in Data Science, Robotics, Physics, Mathematics, or Engineering Sciences.

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

Rolex fosters a culture of innovation and precision, where each team member is encouraged to push the boundaries of excellence. The workplace thrives on collaboration, respect, and a shared passion for horological mastery.