Big Data analysis for Future Vehicles R&D internship

Join Toyota’s AI Research team to build real-time time-series foundation models for driving analytics, working hands-on with engineers and motorsport experts in a high-impact internship

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

In the R&D Group, the EE – Data & Network team has the mission to pick up key future technologies and to get them included in the internal agenda.

To support the moving towards becoming a Mobility Company, the competencies on handling Big Data is now a key asset and a transversal team lead by Data team has been setup.

Your project

As intern you will be supporting the Big Data team to:

• Develop Data models to handle new data-based applications for Future Vehicles
• Develop custom data models, prediction systems and machine learning algorithms for various data projects
• Collaborate with business and IT team to design and develop the end-to-end data analytics solutions/tools
• Present and communicate the outcomes in a clear manner for both technical and non-technical audiences
• Create self-contained documentations and reports for data projects assigned
• Provide support and assist on-demand for governance of the multiple big data analytics projects

• You are fluent in English (TME’s business language)
• Student in last year of master study , data science, automotive or computer engineering
• Highly skilled in Python
• Excellent profieciency of machine learning techniques and algorithms (ML model develpment lifecycle)
• Experienced in time series data and signal processing
• Experienced working with JupyterHub and Git
• Proficiency in using query languages such as SQL
• Experienced in python-based visualization tools like Dash and Streamlit
• Good knowledge in IT and software development
• Good knowledge and interest in automotive, software, Big Data
• Knowledge in technology, connectivity, digital economy
• Fluent in English (reading; writing; speaking) and flexible team player
• Seek facts before making recommendations or decisions, have strong planning and organizing skills
• Communicate in a clear and timely manner
• Multi-tasking and ability to work in various projects
•  

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.