AI Forecasting Intern: Mobility Analytics & Data Science

Toyota Motor Europe; Zaventem; Hybrid; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid working

Restaurant and catering facilities

Sports facilities at Toyota sites

Team building activities

Well-being programs

Job summary

Toyota Motor Europe is offering a 6‑month, hybrid internship in Brussels for a Data Scientist role focused on AI-powered forecasting and mobility solutions. You will work in an international R&D setting within the Powertrain Planning team, contributing to data-driven demand estimation and model improvement.

The program seeks Master’s students in computer engineering, mathematics, or data science with Python/DataIku experience, fluent English, and a passion for mobility.

Qualifications

• Fluent in English (business language).
• Currently pursuing a Master’s programme in a relevant field with strong data science focus.
• Experience in AI / ML using Python and DataIku from internships or student jobs.
• Open-minded and proactive in a multicultural business environment.
• Highly motivated with passion for mobility.
• Able to summarize and explain complex technical information clearly and visually.
• Available from 4 January (or sooner) for a 6‑month full-time internship in Brussels.
• 4 January 2027 (earlier is possible).

Responsibilities

• Refine established AI market forecasting model.
• Test and implement state-of-the-art algorithms to enhance forecasting accuracy.
• Enhance model architecture for maintainability.
• Refine the User Interface to ensure easy operability.
• Operate the AI-model.

Skills

AI / Machine learning

Data science

English fluency

Proactive in multicultural environment

Education

Master's programme in computer engineering / mathematics / data science / engineering

Tools

Python

DataIku

Job description

Toyota Motor Europe is offering a 6‑month, hybrid internship in Brussels for a Data Scientist role focused on AI-powered forecasting and mobility solutions. You will work in an international R&D setting within the Powertrain Planning team, contributing to data-driven demand estimation and model improvement.

The program seeks Master’s students in computer engineering, mathematics, or data science with Python/DataIku experience, fluent English, and a passion for mobility.