Data Science internship

In a nutshell

Turn big data into better customer experiences by developing AI-driven solutions that help Toyota detect vehicle quality issues and shape the future of mobility.

Company Information

TOYOTA is one of the world’s largest automobile manufacturers and a leading global corporation. Founded in 1937. Toyota now sells vehicles in 170 countries and employs over 350.000 people. Based in Brussels, Belgium, and staffed by 2.700 people and more than 60 nationalities, Toyota Motor Europe (TME) handles the wholesale marketing of Toyota and Lexus vehicles, parts & accessories, and manages Toyota’s European R&D, manufacturing, and engineering operations.

We are excited to be transforming into a mobility company focusing on bringing even more happiness to our customers through various mobility solutions.

Your team and your responsibilities

Team/division description

           

TME Customer Quality’s (CQ) primary role is to resolve quality concerns in the European markets, together with R&D and manufacturing partners. CQ Business Reform team (BR) enables faster issue detection by more efficient data monitoring and analysis of possible quality concerns through digitalisation, automation and system developments.

 

Your project

 

As intern in the CQ Business Reform team:

•  Support translating Business requirements into a Data Science project which generates valuable insights for the Quality engineers
•  Establish the data science workflow, starting from the data collection, extraction, exploration and statistical analysis
•  Develop the models and analytics required for the business insights
• Generate value from data by building dashboards or webapps which provide real time insight from your analytics into the Quality process
• contribute to the team wiki page by documenting your work

 

 

Your Profile

• • You are fluent in English (TME’s business language)
  • Student in last year of master study, data science, automotive or computer engineering
  • Familiar with Data Science & Statistics
  • Knowledge of Python
  • Knowledge of SQL
  • Good understanding of NLP and LLMs
  • Interest in automotive, software, Big Data, connected cars
  • Quick and eager learner with a flexible mind and eye for details

   

   

  Starting date: 6/09/2026

   

  Duration: 6 months

 

Confidentiality

Due to business requirement, not all performed projects can be reflected in the internship report. This issue needs to be discussed with candidate/school in advance.

 

It is mandatory that applicants are students for the entire period of the internship.

 

We can only accept students with an EEA or Swiss citizenship (not requiring a work permit or visa to be eligible to perform an internship in Belgium)

We offer

We offer a dynamic multicultural work environment with broad opportunities to learn every day and exciting career pathways that help you explore different disciplines or areas of expertise.

Your benefits

• Flexible working hours and hybrid working (homeworking, 10 days from abroad);
• Company restaurant – Warm dishes, salads and desserts daily, including Japanese and traditional Belgian specialties, as well as a vegan/vegetarian option;
• Sport facilities – Tennis, squash, volleyball, football and softball pitches are available at various Toyota sites;
• Team building activities and other personnel related events;
• Programs to support your physical and social well-being.

A truly diverse, equitable and inclusive workplace

At Toyota Motor Europe, we are committed to providing equal employment opportunity to all. All our recruitment decisions are based on the individual and their qualifications along with the job requirements. The selection process is without regard to nationality, sexual orientation, gender identity or expression, age, religion, ethnicity, disability or other personal characteristics. We do not tolerate harassment or discrimination as our individual experiences and overall diversity is our key strength. Together we have the power to make a positive change and go beyond the ordinary.

If you need any specific consideration for the interview process due to disability or any other reason, please let the recruiter know.