Intern in Optimization of Budget Estimation by AI M/F

Valeo

Job Summary

We are recruiting an intern whose mission will be to develop and evaluate artificial intelligence models, particularly based on machine learning, for budget estimation. These models will be compared to traditional methods currently used to measure their added value in terms of accuracy, speed and adaptability. This internship offers a unique opportunity to contribute to innovation in the financial processes of an international group, while developing expertise at the crossroads of AI and financial management.

Must Have

  • Collect and analyze historical budget data and identify key factors influencing estimates
  • Develop machine learning models adapted to budget forecasting
  • Compare the performance of AI models with traditional estimation methods
  • Propose an integrated solution to improve the budget estimation process
  • Quantify potential gains (accuracy, time, resources) brought by the AI approach
  • Optimize models and validate results
  • Document and present results
  • Student in final year of engineering school (Bac+5) looking for a 4 to 6 month internship
  • Specialization in data science, artificial intelligence or statistics
  • Proficiency in Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch)
  • Good knowledge of statistics and data analysis
  • Professional English level (written and oral)

Good to Have

  • Notions of finance and budgetary management

Perks & Benefits

  • Presence of a social & economic committee (CSE): travel, social and cultural activities
  • Transport reimbursement up to 70%

Job Description

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Join the technological revolution of autonomous and connected vehicles within Valeo!

A world leader in driving assistance, Valeo reinvents life on board the vehicle and revolutionizes the driving experience. From connectivity and interior control solutions to detection systems, the Group's Brain division aims to make mobility safer and more intuitive.

The Valeo site based in Créteil (94) is the headquarters of the Brain division. This Research & Development center brings together 1190 employees around the design of comfort, autonomous and connected driving systems.

We are recruiting an intern whose mission will be to develop and evaluate artificial intelligence models, particularly based on machine learning, for budget estimation. These models will be compared to traditional methods currently used to measure their added value in terms of accuracy, speed and adaptability.

Missions:

  • Collect and analyze historical budget data and identify key factors influencing estimates
  • Develop several machine learning models adapted to budget forecasting
  • Compare the performance of AI models with traditional estimation methods
  • Propose an integrated solution to improve the budget estimation process
  • Quantify potential gains (accuracy, time, resources) brought by the AI approach
  • Model optimization and results validation
  • Documentation and presentation of results

This internship offers a unique opportunity to contribute to innovation in the financial processes of an international group, while developing expertise at the crossroads of AI and financial management.

About you:

  • Student in final year of engineering school (Bac+5) looking for a 4 to 6 month internship
  • Specialization in data science, intelligence artificial or statistics
  • Proficiency in Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch)
  • Good knowledge of statistics and data analysis
  • Professional English level (written and oral)
  • Interest in financial and budgetary issues
  • Analytical skills, rigor and autonomy

Required technical skills:

  • Languages: Python (advanced)
  • Libraries: pandas, numpy, scikit-learn, matplotlib/seaborn
  • Knowledge in machine learning: supervised algorithms, cross-validation, hyperparameter optimization
  • Notions of finance and budgetary management (a plus)

Our advantages:

  • Presence of a social & economic committee (CSE): travel, social and cultural activities
  • Transport reimbursement up to 70%

Why Valeo?

  • To join a technological and industrial leader, a French pioneer in automotive innovation
  • For a dynamic career with opportunities for permanent contracts, theses or International Corporate Volunteering (VIE Program)
  • To contribute to the development of cleaner, safer and smarter mobility

Valeo attaches great importance to diversity, whether cultural, intergenerational, gender or concerning people with disabilities.

Job: Projects Trainee/Apprentice/VIE

Organization: Special Projects

Schedule: Full time

Employee Status: Trainee (Fixed Term) (Trainee)

Job Type: Trainee paid

Job Posting Date: 2025-12-01

16 Skills Required For This Role

Data Analytics Strategic Financial Management Forecasting Budgeting Budget Management Game Texts Seaborn Matplotlib Data Science Numpy Scikit Learn Pytorch Pandas Python Algorithms Tensorflow Machine Learning

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