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Location
Hybrid (Courbevoie, France)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match
Liora is a French training company offering technology and data courses for people who want to build, innovate and change careers. It runs bootcamp-style programmes and hires sales, business development, data engineering and product ownership staff. The company is headquartered in Courbevoie, France.

Rejoignez Liora, une start-up dynamique dans le domaine de la Data Science. En tant que Data Scientist stagiaire, vous participerez à diverses missions, notamment le développement de notebooks et scripts Python, l'accompagnement des apprenants dans leurs projets Data, la transmission de votre expertise à travers des Masterclass et événements, la veille technologique, et la valorisation des données internes. Vous devez être en formation orientée Data Science ou Intelligence Artificielle, avoir une bonne maîtrise de Python et des librairies de Machine Learning et Deep Learning, et être à l'aise en français et en anglais.

Missions

  • Concevoir et faire évoluer des notebooks et scripts Python autour des grands sujets de la Data Science.
  • Guider les apprenants dans la réalisation de leurs projets Data, de la première ligne de code jusqu'à la mise en production.
  • Participer à l'animation de Masterclass et d'événements Data pour partager votre expertise avec une communauté passionnée.

Profil recherché

* Vous suivez une formation orientée Data Science et/ou Intelligence Artificielle.

* Python n'a (presque) plus de secrets pour vous, et vous êtes à l'aise avec les principales librairies de Machine Learning et Deep Learning.

* Transmettre, expliquer, vulgariser : la pédagogie vous attire autant que la technique.

* Vous avez un excellent niveau de français et d'anglais, à l'écrit comme à l'oral.

* L'énergie d'un environnement start-up vous motive : agilité, polyvalence et impact rapide.

* **Petit plus apprécié** : des notions en Data Engineering et/ou MLOps.

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