Hiring.Camp

Data Analysis Intern on ADAS

Toyota Motor Europe NV SA

·

Jul 14, 2024

Location
, UNAVAILABLE
Workplace
Hybrid
Type
Internship
Seniority
Internship
Closing date
Today
Source
iCIMS

Description

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 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 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

 

  • Analyze and classify customer feedback data related to ADAS (Advanced Driver Assistance Systems)
  • Support development of automated analysis tools using data processing and/or AI techniques 
  • Consolidate data into structured datasets 
  • 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
  • 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.
  • 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

  • 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.

Skills

Machine LearningExcel

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