Understand and translate business needs into statistical, machine learning, or AI problem spaces.

- Collaborate with IT and Data Analysts to extract and integrate structured and unstructured data from various sources.
- Work closely with Data Engineers to design scalable data pipelines and ensure effective data flow for model training and evaluation.
- Design and execute controlled experiments to identify and validate optimal solutions.
- Implement solutions using state-of-the-art algorithms and software engineering best practices.
- Create monitoring protocols to ensure models align with evolving business needs.
- Contribute to the development and reusability of industrial-grade AI solutions.
- Share best practices, insights, and techniques with the wider data community.
- Ensure compliance with all external and internal regulations and standards.
- Develop solutions responsibly in line with Airbus ethical AI principles

Key Competencies :Competency & Skill Level

AI: Machine Learning & Deep Learning : 3 - Advanced Level

Artificial Intelligence (AI) Approaches : 3 - Advanced Level

Applied probabilities & Statistics : 3 - Advanced Level

Software engineering fundamentals : 2 - Autonomous Level

Data Governance Management System : 2 - Autonomous Level

Data Science: Advanced Analytics : 3 - Advanced Level

Data Science: Data visualisation & Coms : 3 - Advanced Level

Data Science: Data Wrangling : 3 - Advanced Level

Data Security : 1 - Basic Level

Generative AI Essentials & Prompting : 3 - Advanced

Eco-design & Sustainability of Digital services : 2 - Autonomous Level

- Competency Scale: _




- Basic Level : Basic level of expertise, performs routine and/or recurrent tasks, implies partial supervision.
- Autonomous Level : Ability to solve problems autonomously, no supervision required in these tasks. Can deal with unforeseen issues.
- Advanced Level : High Level of knowledge and wide experience which is internally recognised. Could be a mentor/coach/advisor to support skill development of other colleagues

Education and Experience :

- Education: Bachelor’s degree in a quantitative technical field (Data Science, Statistics, Mathematics, or Aerospace Engineering). A Master’s or Ph.D. in a quantitative field (e.g., Physics, Mathematics, Aerospace Engineering, or Computer Science) is an advantage.
- Industry Tenure: 8+ years of experience in data-related roles, with a proven track record of leading technical teams through the full AI project lifecycle.
- Advanced knowledge of modern architectures, including CNNs and Transformers.
- Hands-on experience with Physics-Informed Neural Networks (PINNs) and hybrid modeling approaches is an advantage
- Proficiency with GenAI toolkits such as Hugging Face, LangChain, and LlamaIndex, alongside agentic frameworks (e.g., Google ADK).




- Expert-level coding in Python and deep familiarity with the ecosystem (PyTorch, TensorFlow, Scikit-learn).
- Expert knowledge of SQL and database systems (PostgreSQL, MySQL, Oracle), including terminal-based workflows (e.g., Claude Code).
- Subject matter expertise in aviation datasets (flight data, maintenance records, passenger telemetry) and business processes is definite advantage
- Practical knowledge of containerization and cloud/on-premise deployment to ensure models move from research to production.
- The ability to translate complex model outputs into "The Story Behind the Data" for non-technical global stakeholders.
- Ability to operate within a Quality Management System (QMS), ensuring all code and research is reproducible, audit-ready, and meets "aircraft-grade" standards.
- Comfortable with a "fail-fast" innovation mindset while maintaining the rigorous safety and quality requirements of the aerospace industry.
- Experience working cross-functionally with AI Engineers and Product Managers for End-to-End delivery.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company : Airbus India Private Limited

Employment Type : Permanent Experience Level : Professional

Job Family : Digital

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

📌 Data Scientist (Bengaluru)
🏢 Airbus India Private
📍 Bengaluru