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Airframe Data Scientist - Robust AI/ML - Airbus
Data Scientist
Airframe Data Scientist focused on integrating physics‑based modeling with advanced AI/ML to optimize and validate robust airframe structures, enhancing lifecycle performance and structural analysis.
About the role
Key Responsibilities
- Develop and validate physics‑based models for airframe structural analysis.
- Design and implement machine learning pipelines to extract actionable insights from large engineering datasets.
- Collaborate with structural engineers to integrate AI/ML solutions into the design and validation workflow.
- Perform data preprocessing, feature engineering, and model evaluation to support robust decision‑making.
- Document methodologies, results, and best practices for cross‑functional teams.
Requirements
- Strong programming skills in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Background in structural engineering or aerostructure analysis, with knowledge of physics‑based modeling.
- Proficiency in data manipulation, statistical analysis, and visualization tools.
- Excellent communication skills and ability to translate technical findings into actionable recommendations.
- Experience with cloud platforms (AWS, Azure) and data management best practices is a plus.
Skills
pythonmachine learningdata analysis