Richemont Machine Learning Engineer Intern

Richemont is a Swiss luxury goods group that manages a portfolio of prestigious maisons in jewellery, watches, writing instruments and fashion accessories. Renowned for craftsmanship and heritage, the group is investing in digital transformation and research to enhance product innovation, client experiences and operational excellence across its maisons.

1. Design, prototype and evaluate machine learning models to address R&I use cases across product, client experience or operations.
2. Preprocess and curate datasets; perform feature engineering and exploratory data analysis to inform model design.
3. Implement experiments using industry-standard frameworks, iterating on architectures and hyperparameters to optimise performance.
4. Collaborate with interdisciplinary teams (data engineers, product owners, designers) to translate research outputs into deployable prototypes.
5. Document methods, produce reproducible code and present findings to stakeholders in written reports and oral presentations.

1. Pursuing a Master's or engineering degree in Computer Science, Data Science, Applied Mathematics, Statistics or a closely related discipline.
2. Solid grounding in core machine learning concepts (supervised/unsupervised learning, evaluation metrics, regularisation).
3. Proven ability to translate theoretical concepts into working code via academic projects or previous internships.
4. Strong programming proficiency and familiarity with software development best practices (version control, testing, reproducibility).
5. Excellent analytical reasoning and communication skills, with the ability to present technical results to non-specialist stakeholders.

1. Python
2. scikit-learn
3. PyTorch
4. TensorFlow
5. SQL
6. Git
7. Docker

Previous internship experience or substantial academic project work in machine learning or data science is required. Candidates should demonstrate hands-on experience with end-to-end experiments, from data preparation to model evaluation and reporting.

Enrolled in a Master's or engineering programme in Computer Science, Data Science, Applied Mathematics, Statistics or equivalent.

Richemont combines a respect for artisanal heritage with a forward-looking approach to technology and product innovation. Teams are typically interdisciplinary and international, offering an environment that values meticulous craftsmanship, collaborative problem-solving and long-term investment in talent development.