Data Scientist & AI Engineer

Job Description

Design, develop, and train an AI model based on historical data from automotive thermal validation tests to predict key performance indicators (KPIs) for future vehicle lines. The ultimate goal is to reduce or eliminate physical testing , accelerate time-to-market , and optimize resource allocation

Main Responsibilities :

• Data Collection & Processing :

Gather, clean, and structure historical test data from thermal validation campaigns (e.g., climatic chamber tests, endurance tests).

Define the architecture of an AI model (e.g., deep learning, machine learning, hybrid models) dedicated to KPI prediction.

Coolant circuits (battery, e-motor, HVAC, heat losses)

Identify correlations between physical parameters and the target KPIs.

Document the modeling process, assumptions, and results.

Qualifications

Education :

Data Science / Artificial Intelligence

Experience :

Technical Skills :

Proficiency in Python (Pandas, Scikit-learn, TensorFlow or PyTorch)

Understanding of vehicle thermal systems (cooling loops, HVAC, electrified components)

Data visualization tools (Matplotlib, Plotly, Power BI, etc.)

Soft Skills :