This internship at Toyota Motor Europe focuses on building and improving a real-time environmental corrosion prediction model using AI and data science. You’ll work on data pipelines, machine learning, and experimental validation in a materials lab. It offers hands-on experience across data engineering, AI, and sustainability, making it ideal for students interested in applied machine learning within an industrial R&D environment.

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.

Team/division description        

You will join the Material Engineering division within R&D. Our mission is to develop ever‑better materials for Toyota vehicles, with a strong focus on carbon neutrality, circular economy and environmental performance. The team supports multiple functions by designing, testing, validating and implementing advanced materials that ensure durability, sustainability and top‑class quality.

Your project

• Develop, maintain and optimize the data pipeline for Toyota’s European environmental corrosion prediction model
• Perform data engineering on real‑time environmental datasets (cleaning, structuring, feature extraction, automation)
• Conduct data science and machine learning research to enhance prediction accuracy and expand model capabilities
• Run experimental studies in the materials laboratory to characterize collected samples and validate model outputs
• Document findings, models and tools in a structured and reproducible format
• Optionally contribute to related digitalization projects in the team (Machine Vision, LLM-based workflows, Data Management)
• Additionally, side small project related to visualization of color profitability data on power BI tool will be carried out to adapt existing report to new input format.

• You are fluent in English (TME’s business language)
• You have a strong interest in AI, data science, material science, or applied machine learning in an industrial R&D environment
• You have experience with Python and core data libraries (Pandas, NumPy, Scikit‑learn, etc.)
• You have basic knowledge of machine learning concepts and data science methodologies
• You have experience with SQL and working with structured datasets
• You have an interest or initial experience with LLM‑assisted development or generative AI tools
• You are curious, hands‑on and eager to work both with digital tools and physical laboratory experiments
• You enjoy exploring data, validating results, and proposing improvements based on analytical thinking
• You are proactive, structured, and comfortable working in an interdisciplinary environment

Starting date

•  May 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 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.

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.