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Open nowPosted today

CS27 BAC+5 - Stage - Data Scientist (H/F)

Renault Group423 open roles

Where
Guyancourt
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Your applicationOpen nowCS27 BAC+5 - Stage - Data Scientist (H/F)Renault Group · Guyancourt

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Renault Group postings stay open a median of 19 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted today

Renault Group median: 19 days open

The posting

Company

RENAULT s.a.s.

Job Description

Contexte et environnement de travail :

A la direction de la Qualité, au sein de l’Incidentologie, vous rejoindrez une équipe dédiée à l'amélioration continue de la gestion des incidents, visant l’excellence opérationnelle et la satisfaction de nos clients. Véritable carrefour entre la Qualité, l’ingénierie, les usines, le service après-vente et les enquêtes de satisfaction, notre équipe traite, consolide et met en valeur des données issues de multiples sources pour orienter les actions d’amélioration continue et enrichir l’expérience utilisateur.

Dans l’univers dynamique du multimédia et des services connectés, l’intégration continue de nouvelles technologies embarquées et externes façonne un écosystème en constante évolution, où innovation, proactivité et réactivité sont essentielles.

Le stage fait partie d'un projet de recherche en cours chez Renault qui explore comment le raisonnement symbolique et le machine learning peuvent être combinés pour créer des outils de diagnostic de nouvelle génération. L'objectif global est d'exploiter la “structured domain knowledge” et les "data-driven models” pour une détection plus rapide et plus précise des anomalies. Le projet utilise des données automobiles réelles (rapports d'incidents, onboard sensor logs, documentation technique) pour construire une représentation unifiée des données d’incidentologie à utiliser pour les requêtes analytiques et les tâches de raisonnement.

Vos missions :

L'objectif principal du stage est d'intégrer et de modéliser les données d’incidentologie dans une base de données orientée graphe. Plus précisément :

  • Data exploration: Analyse des données d’incidentologie existantes (fault logs, reports, maintenance records) pour identifier les entités clés, les relations et la sémantique.
  • Schema refinement: Définition d’un schéma en graphe avec des contraintes d'intégrité reprenant la structure et la sémantique des données d’incidentologie (ontologies, règles d’experts, bases de connaissances métiers).
  • Data cleaning: Pré-traitement des données brutes pour garantir leur qualité.
  • ETL pipeline: Conception d’un workflow scalable pour l'importation de données.
  • Use cases: Démonstration de l'utilité de la base de connaissances en graphe grâce à des requêtes révélant des relations significatives entre les incidents dans le but de les classifier, les prioriser et d’appuyer des algorithmes de machine learning.

Qui êtes-vous ?

  • Étudiant(e) en informatique, data science, ingénierie ou domaine connexe.
  • Connaissances en intelligence artificielle et en machine learning ainsi que des notions de bases de données orientées graphe.
  • Esprit analytique et capacité à résoudre des problèmes complexes.
  • Vous êtes curieux(se), inventif(ve) et doté(e) d’un excellent sens relationnel pour collaborer avec des interlocuteurs variés (ingénierie, après-vente ou autres partenaires internes).
  • Autonome et rigoureux(se), vous disposez d’une forte capacité d’analyse ainsi que d’un excellent niveau d’anglais écrit et oral.
  • Une appétence pour l’univers automobile et les services connectés constitue un atout supplémentaire !

Envie de faire partie de l’aventure ?

Postulez dès maintenant et construisez avec nous l’industrie automobile de demain ! 🚗💡

Job Family

Quality & Customer Satisfaction

Contract Duration

6 months

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.

In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group privacy policy.

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