Data Scientist
Airbus (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Translate complex business problems into AI, machine learning, or statistical solutions focused on aerospace challenges.
- Design, implement, and monitor scalable AI models from PoC to industrial deployment ensuring data integrity and compliance with aerospace-grade quality standards.
- Collaborate cross-functionally with AI leads, product managers, data engineers, and IT teams to manage data pipelines and deliver reusable industrial AI solutions.
Minimum Requirements
- 8+ years of experience in data-related roles with proven leadership of full AI project lifecycles.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Aerospace Engineering or related quantitative field; advanced degrees preferred.
- Expert level proficiency in Python and AI frameworks (PyTorch, TensorFlow, Scikit-learn) plus SQL and database systems (PostgreSQL, MySQL, Oracle).
- Experience with aviation datasets and domain-specific business processes or demonstrated ability to comply with aerospace Quality Management Systems.
Ideal Candidate Profile
- Experienced in modern AI architectures including CNNs, Transformers, and optionally Physics-Informed Neural Networks (PINNs).
- Proficient with GenAI toolkits (Hugging Face, LangChain, LlamaIndex) and capable of translating complex model results for non-technical global stakeholders.
- Comfortable operating within rigorous aerospace industry safety and regulatory frameworks, balancing innovative fail-fast approach with audit-ready reproducibility.