Data Scientist / Engineer Intern

Job description

Verkor is a French industrial company aiming to pioneer low-carbon battery manufacturing in France. With the backing of prominent industrial companies such as Renault Group, Plastic Omnium and Schneider Electric, Verkor intends to electrify the future of European mobility.

With over 350 experts from 38 different countries, our endeavor is to unite exceptional global talent to bring this ambitious and innovative project to life. Our strong and agile international team continues to grow and adapt to new challenges. Based in Grenoble (France), we have recently started operations our Verkor Innovation Centre (R&D centre and 4.0 pilot line).

We now focus on building the world’s most modern and efficient Gigafactory in Dunkirk (France). With this facility, our ambition is an initial annual production of 16 Gwh of lithium-ion batteries by 2025, thus powering 300,000 electric vehicles annually.

In joining us you will actively participate in this breathtaking industrial adventure to shape the future of European mobility.

Role Overview :

  • As a Data Scientist / Engineer intern at Verkor, you'll play a crucial role in our effort to predict battery manufacturing outcomes using AI. You'll have access to real manufacturing data and work closely with our Process Innovation team. Your mission is to leverage machine learning to predict battery performance, identify anomalies, and optimize processes. Your responsibilities include:
  • Contributing to the design and implementation of a Battery Performance Predictive System
  • Keeping up with the latest multi-modal prediction and data forecasting techniques
  • Exploring emerging tools and methods in machine learning system design
  • Support our team efforts in end-to-end data science projects and day-to-day AI investigations in real industry conditions

Hard & Soft Skills expected :

  • - Currently pursuing a BAC+4/+5 degree in Engineering or a Master's in a strong Scientific Domain (Computer Science, Applied Mathematics, Statistics, etc.)
  • - Proficiency in Python and/or R programming
  • - Familiarity with traditional data science/machine learning frameworks (Numpy, Pandas, scikit-learn, Tidyverse) and experience in model training
  • - Professional proficiency in French and/or English
  • - A free spirit with a supportive and motivated attitude

Internship Schedule

  • Throughout your journey, you'll be accompanied and supported by our Senior AI supervisor. The schedule is as follows:
  • Month 1: Integration into the company and orientation to your investigation topic
  • Month 2: Review of the state-of-the-art and delineation of the scientific and engineering scope of your project
  • Months 3 and 4: Prototyping of your solution
  • Months 5 and 6: Iterative improvement loop and report writing

Bonus Skills:

  • - For Engineers: Prior experience or a strong motivation to learn data engineering practices related to data storage, model testing, serving, and deployment
  • - For Scientists: Prior experience or a strong motivation to learn AI frameworks (pyTorch, Lightning) and apply both traditional ML and neural networks approaches

Why join us?

Strong company spirit and culture settle down around our 4 values:


We promote personal initiative and give everyone the means to contribute to the company's success.


We're committed to transparent communication: we say what we think, and we mean what we say.

Team Spirit

Everyone, in their role, is an ambassador for the company. At Verkor, success is most definitely a team sport!


We're all working towards a common goal: a sustainable future, which we're building one step at a time.

Attractive work conditions*

  • Stimulating work environment: pleasant offices, multicultural and motivated team
  • Lunch vouchers
  • 50% of local transportation costs financed
  • 5 weeks of holidays per year + 2 weeks of compensation time (RTT)
  • Industry-leading healthcare
  • Opportunities to network and connect with worldwide experts

For more info on the company, please visit us at

  • all positions are open to individuals possessing a Recognition of the Status of Disabled Worker (RQTH)
  • conditions may apply depending on type of contract

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