Apprenticeship 3 Years Bac+5 Data Scientist/data - Lyon, France - Group Trucks Technology

Group Trucks Technology
Group Trucks Technology
Entreprise vérifiée
Lyon, France

il y a 3 semaines

Sophie Dupont

Posté par:

Sophie Dupont

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Description
Apprenticeship 3 years BAC+5 Data scientist/Data Analyst H/F


Location:
Lyon, FR, 69802
Position Type:Student- Transport is at the core of modern society.

Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.


What you will do

At Volvo Powertrain Engineering (Engine testing and drivetrain testing center in Lyon), you will contribute to the transformation of our company, the transport industry and society at large.

You will be involved in various projects aimed at integrating AI and machine learning techniques into our testing processes to enhance efficiency, reliability, and performance:


  • Assist in collecting, preprocessing, and analyzing test data from our powertrain test rigs.
  • Contribute to the development and implementation of machine learning models for predictive maintenance, performance optimization, anomaly detection, and test automation.
  • Collaborate with crossfunctional teams to integrate AI solutions into our testing infrastructure and workflows.
  • Participate in experiments, testing, and validation activities to assess the performance and effectiveness of AIenabled systems.

Your future team

You will join the "Test Development" team, consisting of around ten individuals responsible for managing test equipment development projects, measurement tools, overseeing entity investments, and supporting the "Maintenance" and "Test Operations" departments.


Who are you?
Do you dream big? We do too, and we are excited to grow together.

In this role, you will bring:

  • Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
  • Strong understanding of machine learning concepts and algorithms.
  • Proficiency in programming languages such as Python, Dotnet.
  • Familiarity with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
  • Excellent communication and teamwork skills.
Ability to work independently and adapt to a fast-paced environment.


Ready for the next move?-Do you still have questions? Here are our contact details, we will be happy to answer them:


Who we are and what we believe in-
Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you'll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.


Job Category:


Advanced Analytics
Organization:

Group Trucks Technology
Travel Required:No Travel Required
Requisition ID:7516
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Do we share the same aspirations?


Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed.

Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society.


Joining Volvo Group, you will work with some of the world's most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity.

Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect.


If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.


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