Rolex Data Scientist
- Location
- GenevaGenevaSwitzerland
- Employment
- Full-Time
- Seniority
- Mid-Level
- Industry
- Fine Watches & Horology
- Posted
- Aug 14, 2026
About Rolex
Rolex is a benchmark of Swiss watchmaking excellence, renowned for precision, enduring design and uncompromising craftsmanship. As an employer, the Maison offers a culture shaped by mastery, discretion and long-term commitment, where engineers, artisans, designers and corporate specialists contribute to products built to transcend generations. Its Geneva-based heritage is matched by a global outlook, rigorous standards and significant investment in training, innovation and responsible excellence. Employees join an institution that values technical depth, collaborative discipline and meticulous attention to detail, offering the opportunity to advance within one of the world’s most respected luxury brands.
Rolex seeks a Data Scientist in Geneva to optimize manufacturing with machine learning and advanced analytics across production operations.
Role & Responsibilities
- Gather and translate business requirements into data science and machine learning use cases aligned with operational priorities
- Develop and deploy predictive models to address anomaly detection, diagnostic support, and quality control improvements
- Manage the industrialization, performance monitoring, and maintenance of production-ready solutions
- Deliver clear analytical reports and actionable recommendations to support decision-making across production teams
- Champion data science best practices, foster innovation, and build data literacy across the organization
Qualifications
- Master's degree (MSc) or equivalent in Computer Science, Data Science, Statistics, or related discipline
- Demonstrated experience in data science or machine learning, preferably in industrial or manufacturing environments
- Proven ability to communicate complex technical concepts to diverse audiences
- Strong analytical and problem-solving orientation with demonstrated rigor and autonomy
- Proactive mindset with solution-focused approach and track record of driving concrete outcomes
Skills
Experience
Confirmed experience in data science or machine learning, ideally within an industrial or production setting. Candidates should demonstrate the ability to work autonomously on complex problems while collaborating effectively with cross-functional production teams.
Education
Master's degree (MSc) or equivalent qualification in Computer Science, Data Science, Statistics, or a related quantitative discipline.
Workplace
This position is based in Geneva, Geneva, Switzerland.
Benefits
Stimulating work environment, excellent working conditions, flexible work arrangements, and premium social benefits.
Culture
Rolex fosters a workplace culture defined by precision, excellence, and a deep respect for craftsmanship. As an employer, the company offers a disciplined yet collaborative environment where long-term thinking, continuous improvement, and attention to detail guide every aspect of work.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Rolex, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Machine Learning Engineer», «Analytics Engineer», «Research Scientist», «AI Specialist», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.