Stage Innovation : Data Management / Simulation Engineer

2 Months ago • All levels • Data Analysis

Job Summary

Job Description

At the Directorate of Innovation, we conduct research projects across a broad range of multi-sectoral experimental fields. These innovative projects, developed in teams, are supervised by our experts within the ALTEN Labs (IDF, Toulouse, Grenoble, Rennes, and Sophia Antipolis). They aim to address client challenges by providing original and disruptive technological solutions. Within our Toulouse Lab, you will be mentored by an Innovation Pilot (Project Manager) to develop your skills on the following project. Project: Energy consumption Digital Twin. ALTEN wishes to reconcile the results of physical models of a transport system with the reality of conducted test campaigns.
Must have:
  • Analyze existing physical models
  • Propose recommendations for improvement
  • Study test data for coherence
  • Perform correlation/PCA analysis
  • Evaluate uncertainty impact
  • Good knowledge of Python, data science libraries
  • Database knowledge
  • Machine Learning knowledge
  • Clustering knowledge
  • Apply skills during training
Good to have:
  • Data Visualization knowledge
Perks:
  • Career advancement in innovation culture
  • Skill development on concrete projects
  • Project team work
  • Permanent CDI employment
  • Expert mentorship
  • Multicultural and multidisciplinary environment
  • International career opportunities

Job Details

Description du poste

A la Direction de l’Innovation, nous menons des projets de recherche sur des champs d’expérimentation très larges et multi-sectoriels.
Ces projets innovants, développés en équipes, sont encadrés par nos experts au sein des ALTEN Labs (IDF, Toulouse, Grenoble, Rennes et Sophia Antipolis), et tentent de répondre aux enjeux de nos clients en leur fournissant des solutions technologiques originales et disruptives.

Au sein de notre Lab de Toulouse, vous serez accompagné(e) par un Pilote Innovation (Chef de projet) pour vous permettre de développer vos compétences sur les activités du projet suivant.

Projet : Energy consumption Digital Twin

ALTEN souhaite réconcilier les résultats de modèles physiques d'un système de transport avec la réalité des campagnes de tests effecutés.

Missions confiées :
- Analyser des modèles physiques existants et proposer des recommandations d’amélioration
- Etudier les données de tests pour s’assurer de leur cohérence
- Réaliser des analyses de corrélation et/ou PCA
- Evaluer l’impact des incertitudes

Qualifications

Vous êtes étudiant(e) en dernière année d’École d’Ingénieur à la recherche d’un stage de fin d’étude et vous avez suivi une spécialité en Informatique, Data Science ou Mathématiques Appliquées.
Vous justifiez de bonnes connaissances en Python notamment les librairies de Data science, Bases de données, Machine Learning et Clustering, que vous avez su mettre en application lors de votre formation.​
Des connaissances en Data Visualisation seront également appréciées.

Réactif(ve), rigoureux(se), autonome et doté(e) du sens du service, vous souhaitez évoluer dans un environnement challengeant​.

Informations complémentaires

Rejoindre nos ALTEN Labs, c’est être au cœur de la culture de l’innovation, et une promesse de monter en compétences sur des sujets concrets en équipe projet, avec à la clé une embauche en CDI en tant que consultant chez ALTEN !

Nos équipes d’experts vous accompagneront pour devenir acteur de votre projet au sein d’un environnement multiculturel et pluridisciplinaire, avec une possibilité d’évolution dans tous les secteurs de l’ingénierie en France et à l’international.

Vous vous reconnaissez dans ce descriptif ? Alors n’attendez plus !

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About The Company

ALTEN Group supports the development strategy of its customers in the fields of innovation, R&D and technological information systems.

Created 30 years ago, the Group has become a world leader in Engineering and Technology consulting.


24 700 highly qualified engineers carry out studies and conception projects for the Technical and Information Systems Divisions of major customers in the industrial, telecommunications and Service sectors.


Our business lines:


• ENGINEERING 

R&D and Manufacturing outsourcing :

> Consulting

> R&D externalization / Design & Development

> Manufacturing engineering

> Supply chain and Quality

> Testing

> Customer Support training


• ENTERPRISE SERVICES

Internal IT:

> Consulting functional knowledge

> technical expertise (Digital, BI...)

> IT applications / Life Cycle Management


Internal Network:

> Architecture and Security

> Deployment Integration Support

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