Rolex Reliability Modeling Intern (Industrial Equipment)

Rolex is a Swiss luxury watchmaker renowned for engineering excellence, precision manufacturing and vertical integration across design and production. As an employer, Rolex is recognised for high standards of craftsmanship, rigorous technical processes and long-term investment in skills development across its manufacturing sites in Switzerland.

1. Identify and analyse principal failure modes of industrial equipment through data and inspection records
2. Develop and calibrate statistical models of failure rates (time-to-failure modelling)
3. Implement one or more predictive models for equipment failure to support maintenance decision-making
4. Propose an optimal maintenance strategy based on failure‑rate probabilities and identified failure modes
5. Produce a comprehensive internal technical report documenting methodology, results and recommendations
6. Support engineering and maintenance teams in project implementation and knowledge transfer

1. Enrolled in a Master’s programme in Data Science, Mathematics, Physics, Microtechnology, Industrial Engineering or equivalent
2. Knowledge of statistical reliability methods (e.g. Weibull distribution)
3. Proficiency in programming for data analysis (example: Python)
4. Strong analytical reasoning and quantitative modelling skills
5. Service‑oriented, proactive, autonomous and able to collaborate with technical teams

1. Python
2. Weibull distribution
3. Reliability engineering
4. Predictive maintenance modeling
5. Technical report writing

No specific length of professional experience required; academic coursework or project experience in statistical modelling, reliability analysis, machine learning or predictive maintenance is highly desirable.

Master's candidate in Data Science, Mathematics, Physics, Microtechnology, Industrial Engineering or an equivalent programme.

Stimulating work environment; excellent working conditions; first‑class social benefits.

Rolex culture emphasises technical mastery, precision and continuous improvement, grounded in Swiss watchmaking traditions. The workplace rewards meticulousness, discretion and collaborative problem‑solving across multidisciplinary engineering teams.