Internships Environmental Prediction and Data Science

In a nutshell

Join Toyota R&D’s Material Engineering team to enhance vehicle durability and prevent corrosion. Maintain data pipelines, optimize models, and create dashboards. Must know SQL, Python, ML, and data visualization.

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

The Material Engineering team at Toyota R&D is dedicated to pioneering advanced materials, driving innovation to enhance vehicle longevity and performance. The requesting group also provide critical insights to prevent field issues related to corrosion, ensuring high-quality, durable vehicles. As an intern, you'll contribute to environmental prediction efforts, directly supporting R&D initiatives that advance the field of material science.

Your project

• Maintain and update the existing data pipeline using SQL and Python
• Research and apply machine learning techniques like ensemble models to improve prediction accuracy
• Develop and optimize models for environmental predictions
• Take ownership of data dashboard (Streamlit or Dash) to visualize results
• Assist in testing and refining models to meet project goals
• Collaborate with engineers and data scientists to enhance data quality

Your Profile

• You are fluent in English (TME’s business language)
• Strong knowledge in data engineering and data science
• Experience with SQL and Python
• Familiarity with machine learning techniques, especially linear regression and random forest
• Experience with dashboard visualization tools (Streamlit/Dash)
• Interest in material engineering, anticorrosion, and automotive industry
• Ability to work independently and as part of a team
• Excellent problem-solving and communication skills

Starting date

•  April

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.