Richemont Data Scientist (Alternance / Work‑Study)
- Location
- Employment
- Internship
- Seniority
- Intern
- Department
- IT & Technology Systems
- Industry
- Fine Watches & Horology
- Posted
- Apr 14, 2026
About Richemont
Richemont is a Switzerland‑based luxury goods group comprising maisons renowned for watches, high jewellery and premium accessories. The group combines traditional craftsmanship with digital transformation initiatives and operates globally across retail, wholesale and brand services.
Richemont — Data Scientist (Alternance) in Paris. Work‑study role supporting analytics and machine‑learning projects across the group.
Role & Responsibilities
- Support cross‑functional analytics projects by preparing, cleansing and validating large, heterogeneous datasets.
- Design and develop predictive models and machine‑learning prototypes to address commercial and operational use cases.
- Perform exploratory data analysis and feature engineering to translate business questions into data science solutions.
- Implement reproducible model pipelines and collaborate with engineers to operationalise models for production use.
- Visualise and communicate insights and model results to stakeholders through reports and dashboards.
- Document methodology, maintain model governance artefacts and participate in code reviews and knowledge sharing.
Qualifications
- Currently enrolled in a Master's or engineering programme in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent (work‑study/alternance eligibility required).
- Solid foundation in probability, statistics and machine‑learning theory.
- Proven programming ability, ideally demonstrated through university projects, internships or personal repositories.
- Strong analytical mindset, attention to detail and ability to translate business problems into data solutions.
- Effective communication skills in a cross‑disciplinary environment; ability to present technical material to non‑technical stakeholders.
Skills
Experience
Relevant academic projects, internships or practical experience in data analysis, machine learning or statistical modelling; prior exposure to end‑to‑end model development and deployment is advantageous but not mandatory for an alternance position.
Education
Enrolled in a Bachelor's, Master's or Grande École programme in Data Science, Computer Science, Statistics, Mathematics or a related discipline (work‑study/alternance eligible).
Workplace
The successful candidate will be located in Paris, Île-de-France, France.
Culture
Richemont blends heritage craftsmanship with modern innovation, encouraging collaboration across maisons and functions. The workplace values professional development, technical excellence and applying data‑driven insight to support luxury brand experiences.
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 Richemont, 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 «Data Science Apprentice», «Junior Data Scientist (Work‑Study)», «Data Scientist Trainee», «Machine Learning Apprentice», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.