Rabanne AI Acceleration Assistant

Puig is an international fashion and fragrance house managing a portfolio of heritage and contemporary brands across beauty, fragrance and fashion. Renowned for a creative and entrepreneurial spirit, Puig blends design-led brand building with strategic investment in product innovation and digital transformation. The company operates globally and collaborates closely with brand teams to scale commercial and technological initiatives.

1. Support the AI Acceleration team in prototyping, evaluating and deploying generative and predictive models for marketing, product and customer-experience use cases across Puig brands.
2. Prepare, clean and engineer datasets; implement experiments and reproducible model training pipelines.
3. Benchmark models and document performance, trade-offs and ethical considerations for cross-functional stakeholders.
4. Collaborate with product managers, brand teams and external vendors to translate business needs into technical requirements and pilots.
5. Contribute to model integration activities, basic MLOps tasks (containerisation, versioning, testing) and deployment support.
6. Perform literature and market scans on emerging AI techniques and tooling relevant to luxury and beauty applications.
7. Create clear technical notes, dashboards and presentations to communicate results and next steps to non-technical audiences.
8. Maintain project documentation, data inventories and compliance checks aligned with internal governance.

1. Current enrolment in a Bachelor's or Master's program in Computer Science, Data Science, Artificial Intelligence, Engineering or a closely related discipline (apprenticeship/alternance track).
2. Demonstrable practical experience through academic projects, internships or personal projects in machine learning or data science.
3. Proficiency in Python and common ML libraries; ability to write clean, documented code and reproducible notebooks.
4. Strong analytical reasoning and familiarity with supervised and unsupervised learning concepts.
5. Comfort working cross-functionally with product, marketing and brand teams; good written and verbal communication skills.
6. Autonomous, curious and eager to learn in a fast-paced, brand-centric environment.

1. Python
2. PyTorch
3. TensorFlow
4. Hugging Face
5. scikit-learn
6. Pandas
7. SQL
8. Jupyter
9. Git
10. Docker
11. MLOps
12. Data visualisation (e.g. Tableau or Power BI)

Entry-level/apprenticeship: candidates should have hands-on academic or internship experience with machine learning projects, including data preparation, model training and basic evaluation. Prior exposure to applied AI or commercial pilots is an advantage.

Enrolled in a relevant Bachelor's or Master's degree program (Computer Science, Data Science, AI, Engineering or equivalent) and eligible for an apprenticeship/alternance contract.

Puig combines creative brand stewardship with a pragmatic approach to innovation, fostering collaborative teams where design sensibility meets technological experimentation. The working environment values entrepreneurial thinking, cross-disciplinary collaboration and a global perspective on beauty and fashion trends.