In a nutshell:
Support vehicle quality improvement by analyzing ADAS customer feedback, identifying trends and recurring issues, building automated data-analysis solutions, structuring large datasets, and creating reports that drive quality enhancements across European markets.
Company Information:
Toyota is one of the world’s largest automobile manufacturers and a leading global company, founded in 1937. Today, Toyota sells vehicles in 170 countries and employs over 350,000 people worldwide.
At Toyota Motor Europe (TME), with our headquarters based in Brussels, Belgium, around 2,700 colleagues from more than 60 nationalities work together across Europe. We are responsible for the wholesale marketing of Toyota and Lexus vehicles, parts and accessories, and we support Toyota’s European R&D, manufacturing, and engineering operations.
We are on an exciting journey as we continue to evolve into a mobility company. Our goal is to create even more value and happiness for our customers through a wide range of mobility solutions.
Your team and your responsibilities:
Team/division description
The Project Quality team supports the evaluation and improvement of vehicle quality during development and production phases. It focuses on analysing customer feedback, identifying system performance issues and supporting continuous quality improvement across European markets.
Your project
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Analyze and classify customer feedback data related to ADAS (Advanced Driver Assistance Systems)
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Support development of automated analysis tools using data processing and/or AI techniques
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Consolidate data into structured datasets
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Identify recurring issues and trends across time
- Contribute to reporting and visualization of findings for internal stakeholders
Your Profile:
- You are fluent in English (TME’s business language)
- You have a background in data analysis, computer engineering or a related field, with an interest in the automotive sector
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You are familiar with ADAS (Advanced Driver Assistance Systems)
- You have good knowledge of Excel and data analysis tools, including automation and/or machine learning techniques.
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You can work in a structured way with large datasets.
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
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Flexible working hours and hybrid working (homeworking, 10 days from abroad);
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Company restaurant – Warm dishes, salads and desserts daily, including Japanese and traditional Belgian specialties, as well as a vegan/vegetarian option;
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Sport facilities – Tennis, squash, volleyball, football and softball pitches are available at various Toyota sites;
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Team building activities and other personnel related events;
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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 opportunities for everyone. Our recruitment decisions are based on everyone’s skills, experience, and the requirements of the role.
We welcome people of all backgrounds, including different nationalities, sexual orientations, gender identities or expressions, ages, religions, ethnicities, abilities, and other personal characteristics. We do not tolerate discrimination or harassment. We believe that our individual experiences and diverse perspectives are a key strength, helping us learn from one another and grow together.
Together, we can make a positive impact and go beyond the ordinary.
If you need any adjustments or specific support during the recruitment or interview process, for any reason, we encourage you to let your recruiter know. We are happy to help create a process that works for you.
