Cartier Data Science Intern

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Location
La Chaux-de-FondsNeuchâtelSwitzerland
Employment
Internship
Seniority
Intern
Department
Research, Innovation & Product Development
Industry
High Jewelry
Posted
Jul 14, 2026

About Cartier

Cartier is one of the world’s most revered Maisons of luxury, celebrated for its high jewellery, watchmaking excellence, and enduring Parisian elegance since 1847. As an employer, Cartier offers a refined environment where craftsmanship, creativity, client excellence, and entrepreneurial spirit are cultivated with care. Its teams contribute to a heritage defined by innovation, cultural influence, and exceptional savoir-faire, while benefiting from the global strength and values of the Richemont Group. Cartier seeks individuals who combine aesthetic sensitivity, precision, collaboration, and a commitment to service, inviting them to help shape the future of a Maison synonymous with beauty, rarity, and timeless distinction.

Cartier seeks Data Science Intern in La Chaux-de-Fonds, Switzerland. Develop AI/ML solutions for manufacturing and digital transformation.

Role & Responsibilities

  • Collaborate with technical experts and business stakeholders to understand complex organizational challenges and identify key priorities for AI-driven solutions
  • Extract, organize, and construct datasets necessary for machine learning and deep learning modeling from multiple sources including Windchill, SAP, and BigQuery
  • Develop and implement analytical and predictive models using machine learning, deep learning, or generative AI methodologies to address business problems
  • Design and deploy scalable algorithms for recommendation systems, similarity detection, and predictive analytics across cloud and real-time batch environments
  • Support the production deployment of models and AI agents, including MLOps implementation and CI/CD pipeline development
  • Monitor model performance metrics and generate scorecards to assess deployed models and agents in production environments
  • Establish and maintain monitoring dashboards to track manufacturing processes and optimization outcomes

Qualifications

  • Engineering degree with specialization in computer science, applied mathematics, or equivalent qualification
  • Mastery of machine learning algorithms and methodologies
  • Proven ability to work autonomously and systematically with strong analytical thinking
  • Effective team collaboration skills with capacity for constructive problem-solving and excellent interpersonal communication

Skills

Machine Learning algorithms Deep Learning Generative AI Python SAP Windchill BigQuery Data extraction and processing Predictive modeling MLOps CI/CD pipelines Dashboard development Cloud computing Data visualization

Experience

Academic experience in machine learning, data science coursework, or AI project work is expected. Previous internship or project experience with data analysis, model development, or algorithm implementation is advantageous.

Education

Engineering degree with specialization in computer science, applied mathematics, data science, or equivalent qualification

Workplace

This position is based in La Chaux-de-Fonds, Neuchâtel, Switzerland.

Culture

Cartier fosters a workplace culture rooted in exceptional craftsmanship, creativity, and respect for its rich heritage as a leading luxury Maison. Employees are encouraged to uphold the highest standards of excellence while contributing to an international, collaborative environment where innovation, elegance, and client-centric service are deeply valued.

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

A.

The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Cartier, 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 Intern», «AI Development Intern», «Data Analytics Intern», «Research Scientist Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.