Data Scientist intern - Paris

💡 Responsible products or services
Paris, France
Waste management
Partial remote possible
1000 - 1200€ (Monthly)
Posted on 09-12-2023
Start : October 2023
This job is no longer available.


Booster les performances et la traçabilité de l'industrie de l'économie circulaire grâce aux nouvelles technologies.

💡 Responsible products or services

The company's mission is to design eco-responsible products and services aligned with the needs of the ecological transformation.

More information
  • Website
  • Company
  • Between 15 and 50 persons
  • Waste management
Impact study

Carried out an internal impact measurement.

Labels and certifications
This structure did not communicate to us the labels or certifications that it was able to obtain.
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The mission

The intern's mission consists in :

  • working on the creation of image recognition algorithms
  • improving the performance of existing algorithms
  • Exploring new R&D methods

Detail of the role

The intern will be given the ownership on specific projects :

  • Development of image recognition algorithms for specific clients
  • Development of new features for the deep learning pipeline (e.g. advanced data augmentation, automated annotation)
  • Implementation of image processing techniques to improve the global quality of the solution
  • Extend the model’s detection capabilities with new strategic classes

The ideal candidate


  • Autonomy and curiosity
  • Interest for environmental issues and the circular economy more particularly
  • You like to be challenged and to be a part of innovation


  • Student in an Engineering school with a specialization in machine learning, computer science and/or computer vision
  • Experience in diverse computer vision projects is appreciated


  • Python (+++)
  • Deep learning frameworks (++)
  • OpenCV (++)
  • Git (+)

Recruitment process

  1. Introduction call with the Data Scientist manager (Etienne)
  2. Technical test - visio
  3. Interview with Olivier, our CTO and Marjorie, our CEO - in person
  4. Meet the team!