AI Acceleration Assistant

Overview

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.

Role & Responsibilities

• 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.
• Prepare, clean and engineer datasets; implement experiments and reproducible model training pipelines.
• Benchmark models and document performance, trade-offs and ethical considerations for cross-functional stakeholders.
• Collaborate with product managers, brand teams and external vendors to translate business needs into technical requirements and pilots.
• Contribute to model integration activities, basic MLOps tasks (containerisation, versioning, testing) and deployment support.
• Perform literature and market scans on emerging AI techniques and tooling relevant to luxury and beauty applications.
• Create clear technical notes, dashboards and presentations to communicate results and next steps to non-technical audiences.
• Maintain project documentation, data inventories and compliance checks aligned with internal governance.

Qualifications

• 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).
• Demonstrable practical experience through academic projects, internships or personal projects in machine learning or data science.
• Proficiency in Python and common ML libraries; ability to write clean, documented code and reproducible notebooks.
• Strong analytical reasoning and familiarity with supervised and unsupervised learning concepts.
• Comfort working cross-functionally with product, marketing and brand teams; good written and verbal communication skills.
• Autonomous, curious and eager to learn in a fast-paced, brand-centric environment.

Skills

Experience

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.

Education

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.

Culture

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.