Who are we?
L'Oréal is the world's largest and most profitable beauty company. Present in over 150 countries, L’Oréal has catered to all forms of beauty in the world for over 100 years and has built an unrivalled portfolio of more than 35 international, diverse and complementary brands including L'Oréal Paris, Garnier, Maybelline New York, Nyx Professional Makeup, IT Cosmetics, Lancôme, Kiehl's, Urban Decay, Shu Uemura, Giorgio Armani, Yves Saint Laurent Beauté, Ralph Lauren, Diesel, Biotherm, Clarisonic, Kérastase, L'Oréal Professionnel, Matrix, Vichy, and La Roche-Posay.
For more than a century, L’Oréal has devoted itself solely to one business: beauty. The group's mission is to provide the best in cosmetics innovation to women and men around the world with respect for their diversity. We want to bring beauty to all people. Our ambition for the coming years is to win over another one billion consumers around the world by creating the cosmetic products that meet the infinite diversity of their beauty needs and desires.
Our business is energetic and vibrant, underpinned by strong ethical principles and our belief that financial performance and responsible business go hand-in-hand. We are driven each day by our six founding values - Passion, Innovation, Entrepreneurial Spirit, Open-mindedness, Quest for Excellence and Responsibility.
The distance between beauty and tech is closing rapidly, and we are determined to be pioneers in this new beauty tech world. New digital technologies and services are making the world of beauty move faster than ever before. Data and artificial intelligence are opening new horizons for personalization and customization. By incorporating digital into everything that we do, we are creating a better relationship with our consumers.
When beauty and tech collide, the impossible can happen!
In our journey, we are looking for talented individuals who can lead us on this mission.
Would you like to be a part of our Beautiful Circle and start this crazy, beautiful adventure?
What will you do?
L'Oréal Internship is a 6-month full-time program (1 July 2024 – 10 Jan 2025) designed for ambitious, compassionate, resilient, and agile students looking to kickstart their professional journey! You will learn about our various business models, build your network, discover our unique divisions and brands, and gain an overview of L'Oréal, our culture and our working environment.
Job Description
Design an analytics and machine learning based solution to optimize e-commerce promotion calendars on a granular level and maximize sales based on business requirements.
As our intern, you will
- Support on multiple steps on the model building process from data collection, data cleaning, data exploration, feature engineering, model approach, model training, industrialized code refactoring
What you will gain from this Internship
- Career development: Practical exposure to machine learning application on real-world business problem.
- Skill development: Hands-on experience on end-to-end machine learning model development and deployment.
- Personal development: Chance to enhance analytical thinking, communication/collaboration skill as well as experience on professional working environment.
Who are we looking for?
- University students currently pursuing Bachelor’s or Master’s degree in Singapore. Students from other institutes of higher education (e.g. Polytechnics) are also welcome!
- Background in Computer Science, Data Science, Machine Learning
- Good communication and analytical skills
- Proficient in Microsoft Suite, especially Excel and PowerPoint
- Proficiency in Python, Power BI, and basic Machine Learning Knowledge is preferred
- Passionate in joining FMCG & beauty industries is a plus
What is the selection process?
Step 1: Hit apply and fill in the requested information. Be sure to upload your CV!
Step 2: Complete Technical Tests (only sent to candidates who are eligible for internship)
Step 3: If your profile is shortlisted, you will hear from one of our recruiters over the phone.
Step 4: Interviews with HR and Hiring Manager(s). No Assessment center will be conducted for this role.
What’s the timeline?
Application Deadline: 12 April
Selection process: Throughout April
Offer: Latest 5 April
Onboarding: 1 July