L'Oréal

About the Company

Leading the world in beauty and pioneering the world of beauty tech; we are 86K employees across 150 countries on five continents.

Our 36 international brands are divided into four unique Divisions: Luxe, Consumer Products, Dermatological Beauty, and Professional Products. Our 36 international brands include Kiehl’s, Lancôme, Giorgio Armani Beauty, Yves Saint Laurent Beauté, Ralph Lauren, Clarisonic, Maybelline New York, Essie, Kérastase, IT Cosmetics, Prada Beauty, Biotherm, Shu Uemura, Viktor&Rolf, Maison Martin Margiela, Urban Decay, Redken, Vichy, La Roche-Posay, Diesel, Garnier, L’Oréal Paris, and more.

For more than a century, L’Oréal has devoted itself solely to one business: beauty. We want to bring beauty to all people. Our goal is to win over another one billion consumers around the world by innovating and creating cosmetic and skincare products that meet the infinite diversity of their beauty needs and desires.

That’s about us… now what about you? You are driven and up for a challenge! You’re passionate about putting your best foot forward, but you’re not afraid to fail either. You love to learn, grow and make an impact on the world. You can be an intern, or at a senior level position, we’re always looking for new people to join our teams.

If you are ready to take charge of your career and join us, you’re one click away: https://careers.loreal.com/en_US/content

Interested about our quest to the next billion consumers, follow us here to get the insider scoop on our business, culture, and tips on how to join us to shape the future of beauty.

Freedom to go beyond, that’s the beauty of L’Oréal.

Listed Jobs

Company Name

L'Oréal

Job Title

6-month Internship – Social Law – July 2026

Job Description

**Job title:** Internship – Social Law (Human Resources Relations) **Role Summary:** 6‑month internship (July‑December 2026) with the Human Resources Department of France, supporting the Social Relations and Legal HR team. The role focuses on collective and individual employment‑law matters, legal monitoring, and preparation of collective bargaining meetings (NAO). **Expectations:** - Demonstrate a strong foundation in French social and employment law. - Provide accurate, timely support to HR managers and employee representation bodies. - Collaborate effectively in a team environment and communicate clearly in French. **Key Responsibilities:** - Assist the Social Relations & Legal HR team with daily support on collective and individual HR legal issues. - Conduct ongoing legal monitoring of legislative and regulatory developments relevant to HR. - Prepare agendas, documentation, and presentations for NAO and other meetings with employee representatives. - Contribute to drafting internal documents, memos, and recommendations based on legal updates. - Participate in cross‑functional teamwork to align HR practices with legal requirements. **Required Skills:** - Strong analytical and research skills. - Rigorous attention to detail and ability to meet tight deadlines. - Proficiency in written and verbal French communication. - Team‑oriented mindset; ability to collaborate with diverse stakeholders. - Basic understanding of collective bargaining processes (NAO). **Required Education & Certifications:** - Current Master 2 (M2) student in Law or law school candidate. - Prior exposure to French social law (e.g., previous internship or academic project). - No specific certification required beyond the M2 level.

Paris, France

Hybrid

12-03-2026

Company Name

L'Oréal

Job Title

STAGE 6 MOIS - À partir de juillet/septembre 2026 - Data – Master 1/2 - 1700€/mois

Job Description

Job title: Data Science Intern – 6 Months Role Summary: 6‑month data internship (Master 1/2) focusing on data collection, cleaning, predictive modeling, and dashboard creation to support brand and business unit decision‑making. Expectations: Deliver analytic products (models, pipelines, dashboards) within project timelines; communicate findings to non‑technical stakeholders; stay current on data science, AI, and cloud technologies. Key Responsibilities: * Collect, clean, and explore complex datasets. * Develop and evaluate predictive models (customer segmentation, sales forecasting, marketing optimisation). * Build and maintain data pipelines and database structures (Data Lake, Data Warehouse). * Design interactive dashboards (Power BI, Tableau, Looker Studio). * Collaborate cross‑functionally with Marketing, Sales, R&I, IT, and other data teams. * Monitor emerging data science and cloud innovations to propose improvements. Required Skills: * Strong analytic and statistical skills. * Programming in Python (preferred) or R. * Proficient in SQL. * Experience with data visualization tools. * Familiarity with cloud platforms (AWS, GCP, Azure) and ML libraries (Scikit‑learn, TensorFlow, PyTorch) is a plus. * Excellent communication of technical insights to non‑technical audiences. * Self‑starter, detail‑oriented, and quick learner. Required Education & Certifications: * Current Master’s student (Bachelor +4/5) in Data Science, Statistics, Applied Mathematics, Computer Science with a strong data focus, or equivalent. * Fluent in English and French.

Paris, France

Hybrid

18-03-2026

Company Name

L'Oréal

Job Title

ALTERNANCE 12 MOIS - À partir de septembre 2026 – Data - Master 1/2

Job Description

**Job Title:** Data Apprenticeship – Master 1/2 (12 months) **Role Summary:** Junior data professional within a multinational beauty group’s data team. Responsible for end‑to‑end data projects—from collection and cleaning through advanced analytics, predictive modeling, and deliverable creation—to support business units in marketing, sales, and R&I. **Expectations:** - Gain hands‑on experience with real‑world data challenges. - Contribute to cross‑functional projects that influence strategic decisions. - Upskill in modern data science tools, cloud platforms, and ML libraries. - Communicate findings clearly to non‑technical stakeholders. **Key Responsibilities:** - Collect, cleanse, and explore complex datasets to identify trends and insights. - Build and evaluate predictive models (customer segmentation, sales forecasting, campaign optimization). - Design interactive dashboards (Power BI, Tableau, Looker Studio) and present insights to business teams. - Assist in data‑engineering tasks: pipeline design, Data Lake/warehouse maintenance, database structuring. - Monitor emerging technologies in AI, big data, and cloud to propose innovative solutions. - Collaborate with marketing, sales, IoM, IT, and fellow data experts to align project objectives. **Required Skills:** - Programming: Python (preferred); R acceptable. - SQL proficiency for complex data queries. - Data visualization tools: Power BI, Tableau, Looker Studio. - Experience with cloud platforms: AWS, GCP, Azure. - Knowledge of ML libraries: scikit‑learn, TensorFlow, PyTorch. - Strong statistical analysis, data modelling, and big‑data manipulation. - Excellent written and verbal communication, ability to translate technical results for non‑technical audiences. - Analytical mindset, rigor, curiosity, and proactive learning. **Required Education & Certifications:** - Master’s level (Bac+4/5) in Engineering, Computer Science, Statistics, Applied Mathematics, or equivalent with a focus on Data Science or a related field. - Fluent in English and French (written and oral). - No specific certifications required, though prior coursework or certifications in data science, machine learning, or cloud platforms is an asset.

Clichy, France

Hybrid

18-03-2026