Data Science Internship in Customer Quality

In a nutshell:
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 (CQ) division’s primary role is to resolve quality related concerns affecting the European markets, together with R&D and manufacturing partners. CQ Business Reform team (BR) is responsible for enabling faster issue detection by more efficient data monitoring and analysis of possible quality concerns in the market through digitalisation, automation and system developments.

**Your project**

As intern in the CQ Business Reform team:

- You will support translating Business requirements into a Data Science project which generates valuable insights for the Quality engineers.
- You will collaborate with BR team members and Quality engineers to establish the data science workflow, starting from the data collection, data extraction, data exploration and statistical analysis.
- You will be in charge of developping the analytics required by the business.
- You will prepare and fine tune machine learning models
- You will get value from data by building dashboards or webapps which provide real time insight from your analytics into the Quality process.
- You will contribute to the team wiki page by documenting your work

Your Profile:

- Student in last year of master study (can be PhD), data science, automotive or computer engineering.
- Familiar with Data Science & Statistics.
- Knowledge of Python.
- Practical Knowledge of the main Machine learning libraries (Scikit-Learn, Statsmodels, Keras, Tensorflow or similar)
- Knowledge of SQL.
- Experienced with Supervised Machine Learning and clustering techniques.
- Familiar with Classifiers, Regressors and their metrics.
- Good understanding of NLP and LLMs.
- You seek facts before making recommendations or decisions, have strong planning and organizing skills.
- You have strong analytical problem solving skills reinforced by good common sense
- You are a quick and eager learner with a flexible mind and good eye for details.
- You are a team player with good communication skills inside a multicultural environment.
- You have interest in automotive, software, Big Data, connected cars.
- You are fluent in English (reading; writing; speaking)

Starting date
- Mid July 2025

Duration
- 6 months

Confidentiality

**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.