- Location
- Neuilly-sur-Seine Île-de-France France
- Employment
- Internship
- Seniority
- Intern
- Posted
- Oct 30, 2026
About Chanel
Chanel is one of the world’s most revered luxury houses, founded by Gabrielle Chanel and distinguished by an enduring vision of elegance, freedom, and modernity. As an employer, the House brings together métiers ranging from haute couture, fashion and leather goods to fragrance, beauty, watches, and fine jewelry, offering employees the opportunity to contribute to a legacy defined by exceptional craftsmanship and creative audacity. Chanel values excellence, discretion, collaboration, and long-term development, fostering an environment where talent is nurtured and heritage is continually reinterpreted for contemporary clients. Its teams are united by a commitment to quality, innovation, and the timeless spirit of the brand.
Chanel’s Parfums Beauté activity is seeking a Packaging Innovation AI and New Technologies Intern for a six-month internship starting in January 2027 in Neuilly-sur-Seine. The intern will explore materials, sustainable processes and AI applications for packaging innovation, support trials and AI-agent prototyping, and coordinate with internal teams and partners.
Role & Responsibilities
- Explore new materials, sustainable processes, and AI tools with start-ups and suppliers.
- Test AI applications for the physicochemical simulation of packaging and the synthesis of technical information.
- Contribute to prototyping AI agents to facilitate research and information synthesis and renew the team’s working methods.
- Prepare and monitor trials, analyse results, and propose improvements for ongoing projects.
- Enrich the mapping of identified technologies and partners by innovation category.
- Support the exploration of new AI tools and share best practices.
- Coordinate exchanges with internal teams and partners while respecting confidentiality.
Qualifications
- Currently in the final year of an engineering degree (Bac+5), specialising in materials, design, digital technology, or data science.
- Strong interest in generative AI, AI agents, and their applications to packaging innovation.
- Curiosity, analytical thinking, and a strong interest in experimentation.
- Sensitivity to eco-design.
- Initial experience with AI tools or no-code prototyping is an advantage.
Skills
Education
Final-year engineering student (Bac+5), specialising in materials, design, digital technology, or data science.
Workplace
The successful candidate will be located in Neuilly-sur-Seine, Île-de-France, France, with easy access to Paris.
Explore jobs in Île-de-France or in France.
Culture
Chanel fosters a culture of timeless creativity, exacting craftsmanship, and quiet excellence, where employees are encouraged to uphold the house’s heritage while contributing to its continued innovation. The workplace environment is refined, collaborative, and deeply committed to quality, offering professionals the opportunity to grow within a globally respected maison that values discretion, artistry, and long-term vision.
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 Chanel, 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 «Packaging Innovation Intern», «AI Innovation Intern», «Packaging Technology Intern», «Packaging Research 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.