Data Scientist

Prestwick Aerosystems; Bengaluru; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Airbus India Private Limited seeks a Data Scientist to transform ill-defined data problems into insights using state‑of‑the‑art ML/AI. You will collaborate with AI leads, Product Managers, and Data Engineers to design scalable data pipelines and robust experiments for model training and deployment.

You will translate complex outputs into a compelling narrative for global stakeholders, while upholding regulatory and ethical AI principles within aerospace standards.

Qualifications

• 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 is an advantage.
• 8+ years of experience in data-related roles with leadership experience.
• Advanced knowledge of CNNs and Transformers; experience with PINNs/hybrid modelling is an advantage.
• Proficiency with GenAI toolkits such as Hugging Face, LangChain, and LlamaIndex; strong Python data stack.

Responsibilities

• Explore ill-defined business problems using scientific methods and translate them into AI/ML problem spaces.
• Collaborate with AI leads, Product Managers, Data Engineers, and Analysts to build scalable data pipelines.
• Design controlled experiments and evaluate models with production-ready software engineering practices.
• Translate model outputs into the story behind the data for non-technical stakeholders and ensure compliance with standards.

Skills

Machine Learning

Deep Learning

Python

Data Wrangling

Experimentation

Communication

Ethical AI

Education

Bachelor's in quantitative field

Master's/PhD advantageous

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face

LangChain

LlamaIndex

PostgreSQL

MySQL

Docker

Kubernetes

Job description

Job Description

The Airbus India Innovation Centre (AIC) is at the forefront of the company’s digital transformation, particularly within the Innovation and Engineering departments. As we move towards Industrialisation of AI, the department focuses on applying Advanced Analytics, Machine Learning, and Deep Tech to solve critical aerospace challenges—ranging from generative design and predictive maintenance to autonomous systems. In this fast-paced environment, the Innovation Team acts as an internal incubator for disruptive technologies. Our projects follow a rigorous lifecycle from Proof of Concept (PoC) to full industrial deployment. To support these goals, AIC seeks to onboard a Data Scientist to explore ill-defined complex business problems around data using scientific methods and to transform them into insights solutions based on state of the art machine learning, AI and statistics with the focus on forward-looking applications. The Data Scientist will work closely with AI lead and Product Managers to ensure data integrity throughout the product life cycle. 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 efficient data flow for model training and evaluation. Analyze data properties and apply scientific methods to propose or develop solutions using statistical, machine learning, or AI techniques. 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

• 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 modelling 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 a 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 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

Airbus is committed to achieving workforce diversity and creating an inclusive working environment.

We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all.

As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [e-mail].

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.

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

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