6-month Internship | From January/March 2026 to July/September 2026 | Paris area | Master 1/2 | €1,700 monthly

At L’Oréal, your potential is what matters most. We provide the freedom to explore, create, and innovate in a fast-paced environment where technology is central to our operations. Our mission is to invent the future of beauty by combining technology, science, and natural inspiration, offering inclusive, responsible, and future-oriented beauty.

Here, your ideas transform into real solutions with a global impact within an authentic and diverse community that encourages growth, challenges, and iteration without fear of failure.

What does it look like to work in Tech at L’Oréal?

Working in Tech at L’Oréal means joining a realm where beauty meets cutting-edge innovation. Depending on your interests, you may contribute to business-oriented projects or delve into technical subjects such as Infrastructure, with opportunities to engage in significant global transformations.

At the heart of this ambition lies Beauty Tech, a global community of 9,000 collaborators driving the future of beauty through three main areas: Data, Tech & Digital. L’Oréal aims to remain the world leader in cosmetics by becoming one of the first data-driven companies, translating this ambition into over 200 impactful projects that shape our strategic direction. Joining us means stepping into roles that continuously adapt and evolve, where your impact grows alongside the technologies you help shape.

So, are you ready to experience L’Oréal Tech?

What will be your missions:

• Drive Generative AI & Advanced Tech Exploration: Actively apply cutting-edge technologies, including Generative AI, agentic AI frameworks, and Generative Business Intelligence (Gen BI), to develop real-world use cases that enhance L’Oréal’s consumer, customer, and employee experiences.
• Lead Internal Enablement & Upskilling Initiatives: Contribute significantly to building internal expertise, upskilling employees, and promoting technology adoption through workshops, training, and by leading a community of like-minded individuals across Europe, focusing on advanced AI applications.
• Manage Proof of Concept (PoC) Initiatives: Lead and support short-term PoC initiatives to validate business ideas, often leveraging Gen AI, Gen BI, and agentic AI pilots, enabling internal teams to deliver innovative solutions in compliance with L’Oréal processes.
• Conduct Innovation Research & Advanced Trend Analysis: Perform in-depth research on key technology trends, evaluate external and internal proposals, and present findings to inform strategic decisions for future innovation.
• Foster Cross-functional Collaboration: Work closely with diverse IT and Business teams (Brands, Marketing, Architecture, Data, Cybersecurity) across Europe, building strong communication and stakeholder management abilities for complex projects involving advanced AI deployments.

During this experience, you will develop:

• Advanced AI & Emerging Technology Expertise: Practical application and deep understanding of Generative AI, agentic AI principles, and Generative Business Intelligence (Gen BI) within a large corporate environment.
• Innovation Project Management with Advanced Tech: Skills in leading and supporting Proof of Concept (PoC) initiatives, specifically leveraging and integrating advanced AI solutions, from ideation and validation to technical guidance and compliance.
• Internal Enablement for Advanced AI: The ability to contribute to and drive internal upskilling programs, facilitate the adoption of sophisticated AI tools, and foster collaborative communities across Europe.
• Strategic Research & Analytical Thinking: Competence in conducting thorough technological trend analysis, focusing on AI agent capabilities and Gen BI applications, evaluating innovation proposals, and translating insights into actionable strategies.
• Cross-functional Collaboration & Stakeholder Management: Enhanced communication and collaboration skills gained through working with diverse technical and business teams on complex AI projects across multiple European countries.
• Process Acumen & Ethical AI Deployment: A practical understanding of complex organizational processes, compliance requirements, and the ethical considerations involved in deploying advanced systems.