Data Scientist/Digitalization Engineer – System Standard Parts (m/f/d)
Airbus (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead digital transformation of System Standard Parts qualification processes integrating AI to optimize engineering design, verification, and validation.
- Develop and implement generative AI and NLP solutions (e.g., Large Language Models) for document classification, text analysis, and information retrieval applied to unstructured technical data.
- Engage with cross-functional teams to deliver data-driven insights, model evaluation, visualization, and support knowledge management aligned with Airbus digital strategy.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science preferred.
- 5-8 years professional experience in digitalization or engineering data science.
- Proficiency in Python (SciPy, Scikit-learn, TensorFlow/PyTorch) and experience with statistical software (e.g., JMP, Minitab, or Python libraries).
- Experience developing and deploying machine learning models in engineering or manufacturing contexts; capability with Google AppSheet and Google Cloud integrations.
Ideal Candidate Profile
- Experienced in applying AI/ML to engineering data with a focus on unstructured data and LLM-based solutions in aerospace or manufacturing sectors.
- Demonstrates ability to collaborate across engineering domains including Design, Certification, and Manufacturing while managing knowledge and stakeholder engagement.
- Technical background or exposure to Electrical, Mechanical, or Aerospace Systems Engineering preferred, aligning with physical engineering model development and deployment.