L’Oréal is looking for an Intern in Research & Innovation

Based at : Clichy (92)

Duration : 6 month

Beginning : January 2025

Our mission: offering you an amazing, personalized experience inside our tech entity. A real kick-start for your career!

Didn’t imagine L’Oreal as an amazing Tech Company? Wait a minute!

L’Oréal is present in 130 countries on five continents. For more than acentury, L’Oréal has devoted itself solely to one business: createbeauty that moves the world; it is now the industry world leader with €38 billion consolidated sales.

Today, L’Oréal includes 1700 tech positions and it’s constantly growing. Especially with our ambition to become the #1BeautyTech company, meaning inventing the beauty of the future whilebecoming the company of the future.

To achieve this ambition, L’Oréal needs to continue recruiting many diverse, innovative,skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.

Main Missions :

The intern’s mission will be to support the entire R&I Department team:

• Development of Power BI dashboards for visualizing and analyzing IP data ;
• Use of AI L’Oréal internal tools and technologies for IP analysis and management ;
• Close collaboration with IT team for implementation
• Implementation and testing of AI prototypes ;
• Development of introductory materials and presentations to increase team familiarity with new AI and Power BI tools ;
• Collaboration with the data team on data strategy and best practices.

In this position, the intern will develop :

• Proficiency in data analysis and visualization, particularly using Power BI, to create clear and concise dashboards and reports ;
• Practical experience with AI technologies applied to intellectual property data analysis, such as natural language processing and machine learning ;
• Skills in programming (Python/R/SQL) and database management for data manipulation and analysis ;
• Development of communication and collaboration skills, including presenting findings to both technical and non-technical audiences, and teamwork with IT and data teams ;
• Gaining a thorough understanding of intellectual property management and the importance of data for strategic decision-making.