Data Scientist Stage- Septembre 2025 Paris (H/F)
Posted 16 hours 47 minutes ago by ARDIAN France
Data Scientist Stage- Septembre 2025 Paris (H/F) page is loaded Data Scientist Stage- Septembre 2025 Paris (H/F) Apply locations Paris time type Full time posted on Posted 30+ Days Ago job requisition id JR
Département : Data Science
Contrat : Stage
Durée (non obligatoire): 5 à 6 mois
Localisation : Paris
Date de début de contrat: Septembre/Octobre 2025
A propos de l'équipe
L'équipe data science d'Ardian est basée à Paris, Londres et New York et couvre une grande variété de sujets à travers l'ensemble de l'entreprise.
Le rôle
Intégré au sein de l'équipe data science, le stagiaire data scientist sera amené à travailler sur des projets data directement liés aux actifs en portefeuille d'Ardian (entreprises industrielles dans les énergies renouvelables, transport, retail, healthcare, etc.) ou encore plus transverse au sein de l'entreprise (avec par exemple de la generative AI, etc.)
Ce poste requiert une grande part d'autonomie qui s'accompagne également d'une supervision régulière par les autres data scientists et managers de l'équipe. Il offre également une exposition directe au management des entreprises concernées, ainsi qu'aux problématiques actuelles de décarbonation et de développement durable.
En fonction de la charge de travail et des envies du stagiaire, celui-ci pourra également être amené à travailler sur des sujets liés aux activités plus générales d'investissement et d'asset management du fonds.
Compétences requises
Rigueur
Motivation
Autonomie
Réactivité
Esprit d'équipe et grandes qualités de communication
Capacité à vulgariser des notions techniques complexes
Efficacité
Le profil
Etudiant en 3ème année (stage de fin d'études) ou de 2ème année (2ème stage de césure) d'école d'ingénieur ou école de commerce actuellement en Master de Data Science, Statistiques, Mathématiques, Recherche Opérationnelle ou domaine assimilé
Première expérience en data science requise
Maîtrise avancée de Python requise
Anglais courant indispensable
Bonne maîtrise d'Excel et Powerpoint appréciée
Autres informations
Rémunération selon profil
Remboursement du titre de transport (65%) et tickets restaurant
Convention de stage obligatoire
English
Team : Data Science
Contract : Internship
Duration (optional): 5 to 6 months
Location : Paris
Contract start date: September/October 2025
About the Team
The data science team is based in Paris, London and New York and covers a wide range of topics across the entire company.
The role
Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (ie industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.)
This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development.
Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.
Required skills
Rigor
Motivation
Autonomy
Responsiveness
Team spirit and excellent communication skills
Ability to simplify complex technical concepts
Efficiency
Profile
3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a Master's degree in Data Science, Statistics, Mathematics, Operations Research, or related field
Prior experience in data science required
Advanced proficiency in Python required
Fluent English essential
Good command of Excel and PowerPoint appreciated
Other informations
Remuneration based on profile
Transportation reimbursement (65%) and meal vouchers
Internship agreement required
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At Ardian we invest all of ourselves in building companies that last.
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