6-month Internship Opportunities - DATA - January or March 2025

Description du poste:

DATA INTERNSHIP OPPORTUNITIES @L'Oréal

6-month Internship | From January 2025 to July 2025 OR March 2025 to August 2025 | Paris area | Master 1 or 2 | 1700EUR monthly | Many opportunities

"Nos marques sont nos titres de noblesse"
Jean Paul Agon

Embrace the Future of Beauty with L'Oréal's Data Team!

L'Oréal may be famous for its beauty products, but don't underestimate its tech prowess. Here's why L'Oréal is quickly becoming a data and tech powerhouse:
* Beauty Tech is the Goal: L'Oréal is on a mission to lead the beauty tech revolution, investing heavily in AI, AR, and personalization to transform how consumers experience beauty.
* Data Fuels Their Decisions: L'Oréal knows data is key. They are building robust data infrastructure and using advanced analytics to understand consumers, predict trends, and create innovative products.
* Attracting Top Tech Talent: With over 1700 tech positions and counting, L'Oréal is aggressively recruiting top talent in data science, AI, cybersecurity, and more.
* Innovation is in Their DNA: L'Oréal's dedicated tech incubator and partnerships with startups and tech giants demonstrate their commitment to cutting-edge innovation.
* Real-World Results: L'Oréal is already launching tech-driven products like personalized skincare solutions, AR virtual try-on experiences, and data-informed product development.

L'Oréal is not just keeping up with the tech evolution - they are leading the charge in beauty tech. They are proving that data and technology are the future of beauty.

Shape the Future of Beauty through Data:
Immerse yourself in the world of beauty tech at our Global Beauty Tech team located in the Paris area and gain invaluable experience working alongside our expert Data team. We are currently offering internships across various data-focused disciplines:
* Data Analysis: 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:
* Identifying business needs and collecting user requirements.
* Preparing data, building data pipelines, and ensuring data quality.
* Building data analysis solutions and visualizing data to aid decision-making.
* Supporting solution deployment in an agile environment.

* Data Science: Develop and implement cutting-edge algorithms and machine learning models to optimize our operations, personalize consumer experiences, and create the beauty products of tomorrow. You could be involved in:
* Deploying predictive models to improve decision-making in various business areas (e.g., predicting consumer trends).
* Continuously implementing and testing different data science approaches.
* Performing exploratory data analysis to extract insights and communicate findings to stakeholders.

* Data Engineering: Build the backbone of our data infrastructure and contribute to acquiring, transforming, and analyzing data at scale.
* Acquire datasets that align with business needs.
* Develop algorithms to transform data into useful insights.
* Build, test, and maintain robust database pipeline architectures.

* Data Product Owner: Bridge the gap between business needs and technical solutions. Define the vision, roadmap, and requirements for innovative data products that will transform the beauty landscape.
* Help frame and challenge data projects after their initial qualification.
* Understand complex business needs within L'Oréal R&I to identify potential enhancements.
* Define product and project vision in collaboration with stakeholders.
* Participate in the Agile process, including user stories, backlog management, and scrum ceremonies.

Who We're Looking For:
* Students currently pursuing a Master's degree (Master 1 or 2) in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics) - No margin for negotiation on this one! Able to provide an internship agreement of 6 months issued by your school - no negotiation either!
* Strong analytical and problem-solving skills with a passion for data-driven insights.
* Proficiency in relevant programming languages (e.g., Python, R) and data visualization tools.
* Excellent communication and interpersonal skills.
* Fluency in French or English is required.

Ready to Make an Impact?
For more information on specific internship opportunities and to apply, please visit the L'Oréal careers website at loreal.com/careers. Don't miss this chance to embark on an enriching internship experience that will shape the future of beauty!

WHAT DOES OUR RECRUITMENT PROCESS LOOK LIKE?
1°/ Our recruitment team will review all the application - And If your CV is selected, you will be invited for an Exploratory Recruitment Interview. The recruiter you meet with will be getting to know you better so they can capture the métier, division, brand and finally the mission in which you will be able to better express your potential.
2°/ Finally, you will get a Business interview with your potential future manager(s). At this point, your recruiter will help you prepare for this final interview!

YOUR ADVANTAGES:
* Salary : 1700EUR
* VIP access to the internal L'Oréal online shop to buy discounted products
* Access to L'Oréal's canteen and gym
* Unlimited access to the L'Oréal Learning Platform to boost your development
* 1 day of remote working per week
* A bespoke development process guiding you towards a permanent position in the Group. Note that ~70% of our entry level roles are filed by previous interns/apprentices !
* Real-World Experience: Contribute to high-impact projects that directly impact L'Oréal's global business.
* Mentorship & Development: Receive guidance and support from experienced data professionals who are passionate about fostering your growth.
* Industry Exposure: Gain a deep understanding of the beauty industry and the transformative power of data.
* Networking Opportunities: Connect with fellow interns and L'Oréal employees, building valuable relationships for your future career.

"As part of the recruitment process, you will be considered for positions regardless of your actual or perceived gender identity, sexual orientation, visible and/or invisible disability(ies), socio-economic and/or multicultural origins, your state of health, your age, your religion or any other characteristic protected by the law.
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