Join L'Oréal, a fast-growing tech and data powerhouse in the beauty industry. As a 6-month intern, you'll have the opportunity to work in various data-related roles, including data analyst, data scientist, data engineer, and data product owner. You'll gain valuable experience, receive a monthly compensation of €1700, and have the chance to secure a job after your internship.
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Identifying business needs and collecting user requirements, preparing data, building data pipelines, and ensuring data quality.
Developing and implementing cutting-edge algorithms and machine learning models to optimize operations and personalize consumer experiences.
Bridging the gap between business needs and technical solutions, defining the vision, roadmap, and requirements for innovative data products.
6-month Internships | From January to July 2026 or March to September 2026 | Paris area | Master 1 or 2 | 1700€ monthly | Many opportunities
At L’Oréal, your potential is what matters most.
We’re not just a beauty company, we’re a fast-growing tech and data powerhouse.
Here’s why:
Beauty Tech is the Goal, L’Orealinvests massively in AI, AR and personalization to transform how millions experience beauty.
Data Fuels our Decisions, the Group builds world-class infrastructure and analytics to predict trends, understand consumers and design innovative products.
Attracting Top Tech & Data Talents, L’Oréal unites 9,000+ Tech experts worldwideand keeps growing fast with 1,700+ open positions across data science, AI, cybersecurity and engineering.
Innovation is in our DNA, L’Oréal dedicated incubators and bold partnerships with top startups and global tech leaders.
Real-world impact, the Group is already launching tech-driven products like personalized skincare solutions, AR virtual try-on experiences, and data-informed product development.
So, ready to live the L’Oréal Data experience?
Your Missions:
Depending on your expertise, you could shape your career as a:
DATA ANALYST: Uncover hidden insights from complex datasets to drive key business decisions. Contribute to projects spanning marketing effectiveness, consumer behavior analysis, and more. Responsibilities may include:
Your profile:
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