Data Scientist

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

The Airbus India Innovation Centre (AIC) is at the forefront of the companys 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 challengesranging 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.

Job Description:

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: 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: Bachelors degree in a quantitative technical field (Data Science Statistics Mathematics or Aerospace Engineering). A Masters 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 Companys success reputation and sustainable growth.

Company:

Airbus India Private Limited

Employment Type:

Permanent

-------

Experience Level:

Professional

Job Family:

Digital

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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.

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.

Required Experience:

Job Description:The Airbus India Innovation Centre (AIC) is at the forefront of the companys 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 De...

Job Description:

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: 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: Bachelors degree in a quantitative technical field (Data Science Statistics Mathematics or Aerospace Engineering). A Masters 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 Companys 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.

Required Experience: