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Research & Innovation
Full - Time

Research & Innovation - Internship 6 months – Scientific Computing - 2021 - M/W

For L’Oréal, beauty is above all a scientific adventure. This principle is reflected in the key role played by our Research & Innovation division, which deploys its teams all around the world to dream up and create the products of tomorrow.

But wait, have you heard about our history?

In 1909, Eugène Schueller, a young chemist, formulated the first hair dyes using a blend of harmless chemical compounds. With his entrepreneurial spirit, he sold it to Parisian hairdressers and founded the Société Française des Teintures Inoffensives pour Cheveux.

You never heard of that company? Don’t worry, we don’t blame you, because you know it under its current name: L’Oréal.

More than a century later, Eugene Schueller’s belief that research and innovation form the cornerstone of growth and success has spread to reach more than 3800 R&I employees, and enabled the discovery of over 130 molecules and the development of thousands of formulas and products.

Join us to become a L’Oréal Internpreneur!

Internship in Scientific Computing

Flexible starting date between January and July 2021 for 6 months, located in the Paris region

3 stages sont à pourvoir : 

MISSION 1 : Analyse statistique des données omiques fondée sur les graphes : développement et mise en place de la méthodologie.

    • Recherches bibliographiques sur les modèles graphiques (non dirigés et dirigés)
    • Application d’approches graphiques sur des jeux de données omiques en grande dimension (metabolomiques, microbiome)
    • Simulation données microbiome de nature compositionnelle pour l’évaluation de nos indicateurs de performances (alpha, beta diversité, analyse DESeq2) et des performances des approches graphiques
    • Implémentation de codes en R pour l’automatisation des analyses

Education and Training required:

  • Master 1 or 2 (you must have a « convention de stage ») in one of the following disciplines: 

Data science, Data Science applied to Biology, Statistics and Biostatistics, Sensory or Statistic analysis

Requis : Bonnes connaissances en mathématiques (statistiques, probabilités…), programmation en R, biologie computationnelle.

Facultatif : notion en théorie des graphes, connaissances en sciences du vivant

MISSION 2 : Development of a statistical tool for specific sensory analysis

The missions of Data Insight Team (Scientific Computing Department) at l’Oréal is to work in close collaboration with Laboratory, Advanced Research and Product Performance Evaluation (including Sensory Science and Consumer Science) to help them into decision making.

Our help consists in providing tools, algorithms, decision rules… based on a statistical expertise. The mission of this internship will focus on the collaboration with Product Performance Evaluation, specifically Sensory Science Teams. 

Today many analyses specific to sensory science are performed with external software. We want to develop the ability of performing these analyses in an internal platform. The aim of the internship will be to define what analysis are the most relevant to help sensory teams (among CATA, time intensity analysis, penalty analysis, free sorting…), set up adapted statistical methodologies and implement R code into an internal platform. 

The main deliverable of this project are:

  • An inventory of Sensory Science team needs
  • A state of the art to understand how this type of algorithms are developed in other tools (XlStat…)
  • A ready-to-use tool in R
  • A complete documentation on the methodologies and the way of using tool 

What profile are we looking for ?

  •  Master 1 or 2 Data Science or Sensory and Statistic analysis
  • Knowledge in Sensory Science: understanding of usual methodologies, data acquisition…
  • Strong knowledge in statistical and multidimensional data analysis
  • R/R Shiny programming
  • French and English written and spoken communication efficiency
  • You are well known for your incredible dynamism and your hands-on mentality
  • Result-oriented: you are not afraid to tackle challenges and solve problems thanks to creative solutions
  • You are a true team player, but also capable of working autonomously
  • Scientific excellence is your moto – you pay strong attention to details and are always seeking for new ways to innovate

MISSION 3 : Elicitation de prior pour calcul de grandeurs statistiques bayésiennes de prises de décision 

Au sein du Calcul Scientifique, les missions confiées au stagiaire seront les suivantes :

  • Veille bibliographique des méthodologies d’élicitation
  • Comprendre et mettre en place une stratégie d’élicitation de prior auprès des experts sur plusieurs domaines
  • Animer, préparer et organiser des réunions et accompagner les experts dans la définition des priors
  • Utiliser R pour générer les expressions mathématiques de ces priors
  • Rédaction d’une note synthétisant les conclusions obtenues
  • Application au calcul de grandeurs bayésiennes d’indicateurs de prises de décisions sur des études cliniques d’efficacité cosmétique

Le stagiaire, à travers ses missions, développera les compétences suivantes :

  • Approfondissement des connaissances en méthodologie statistique des études cliniques, en statistique bayésienne ainsi qu’en algorithmique
  • Aptitude à la synthèse et à la rédaction
  • Gestion d’un projet en autonomie
  • Aptitude à communiquer ses résultats scientifiques à un large public
  • Aptitude à fédérer des avis d’experts et à vulgariser des concepts scientifiques

Le stagiaire sera amené à faire des réunions de travail internes au Calcul Scientifique mais aussi en collaboration avec les métiers de la R&I.


Les principales compétences techniques et relationnelles recherchées sont :

  • Statistique (Théorie des tests, statistiques descriptives), Probabilité, Intégration, Analyse bayésienne, modèles linéaires mixtes
  • Programmation en R
  • Connaissances des études cliniques
  • Autonomie, capacités rédactionnelle et organisationnelle
  • A l’aise à l’oral avec de bonnes capacités de communication
  • Des notions en sciences du vivant sont un plus

Type de formation souhaitée : BAC +5, école d’ingénieur, master 2 en statistiques, ….

Langue(s) à maîtriser : Anglais

Logiciel(s) spécifique(s) à maîtriser : R, Pack Office

The raw materials for the perfect fit
  • You speak French or/and English fluently
  • You are well known for your incredible dynamism and your hands-on mentality
  • Result-oriented: you are not afraid to tackle challenges and solve problems thanks to creative solutions
  • You are a true team player, but also capable of working autonomously
  • Scientific excellence is your moto – you pay strong attention to details and are always seeking for new ways to innovate!

Our imput to the mixture

  • An appealing monthly gratification, ranging from 1250€ (Master1) to 1400€ (Master2)
  • Access to a corporate restaurant, a gym and to the L’Oréal staff store to try out all our products
  • Unlimited access to a learning platform with more than 4000 trainings for your own development
  • Integration to an amazing community of more than 120 interns and 50 apprentices and participation to different networking events
  • Personalized HR follow ups to help you develop your skills and improve your performances
  • Participation to L’Oréal’s Innovation Games: a scientific business case competition, where you’ll be able to disrupt the future of beauty
  • The possibility to sharpen your entrepreneurial spirit
  • The ability to bring out-of-the-box ideas to the table!

Under the microscope…

Transparency in the process of recruitment is a priority for us. Here are the steps you might go through:

1st step: APPLY

Send us your resume (NO cover letter needed!)


You will receive a link to take a 30-minutes peer-to-peer online evaluation


After successfully passing the previous evaluation, our amazing HR team will get in touch with you to know more about your project


Your resume will be communicated to managers. They’ll ask to meet you if your profile matches their mission’s requirements

To improve your formula

There are no secrets: the better you prepare; the more chances you’ll have to rock your interviews!

Get to know L’Oréal and its Research & Innovation department.

Find out more about the life of Thomas now employed in the group, after a successful internship an a VIE in Asia, within L'Oréal. 

We told you earlier about the Innovation Games, discover the first edition here

Don’t miss out on some recruitment tips to improve your resume and nail your interview!

And follow us on Instagram to get some insights into the life at L’Oréal R&I!