Apply for Airbus Intern 2025! Hiring Data Science Engineer Job in Bangalore for Freshers. Build Python, ML, NLP solutions. Competitive stipend for BE/BTech graduates skilled in data analytics, aerospace.
Candidates who are interested in Airbus Intern Job Openings can go through the below to get more information.
Key Job details of Data Science Engineer job
Company: Airbus
Qualifications: BE/BTech
Experience Needed: Freshers
Job Req ID: JR10347607
Location: Bangalore
Start Date: 10th November 2025
Click here to Join on WhatsApp:- https://wa.link/28qo7j
Click here to Join on Telegram:- https://telegram.me/qaidea
Job Description
Team: Certification Technical Directorate
Certification may be one of the best kept secrets in Engineering. Perceived as purely regulatory by some, this discipline in fact provides a complete overview of the aircraft development process, from the initial project application to the continued airworthiness of the in-service fleet.
As a Data Science Engineer you will join the certification team in India. This dynamic team, composed of Certification Engineers, Certification Managers and Experts, currently based in India & Europe, forms part of the Certification Technical Directorate (CTD). This team contributes to Type Certification (TC), Change to TC, operational approval, rulemaking and customer support activities.
Role:
As a Data Analyst / Machine Learning Engineer focusing on Aircraft certification related applications with the task to provide safe and balanced data driven solutions. She/He will play a key role in developing machine learning and deep learning (classification, regression, time-series and natural language processing) models and/or analytics dashboards for decision-making. The candidate should be able to work on in-house tool development to access the required databases with certification data and make the prediction for Mod classification, requirements, level of involvement of EASA panels and text based elastic search features for similar mod identification. As a future road map, the candidate should be able to look into AI/ ML algorithms like LLMs, NLP for in-house tool enhancement.
Technical Skills
Key Skills
Machine learning, Deep learning code development and deployment
Dashboarding in environments like Dash, Power BI, Spotfire etc.
Experience in Classification/Regression, Natural Language Processing, Time series Analysis, Computer Vision, Reinforcement Learning
Data science driven decision
Good to have (not mandatory)
Basic understanding of System Engineering and Aerospace/ Aviation
Basic Knowledge of Generative Artificial Intelligence and state-of-the-art modelling techniques
Basic Knowledge on Large Language Model development, deployment and monitoring
Exposure to Software development, testing, verification and integration
Preferred Languages: Python, App-script, Java-script
Data Science Frameworks: Scikit-Learn, Keras, Tensorflow, Pytorch, Langchain etc.
Environments: Jupyter Notebook / Anaconda, Visual Studio etc.
Soft Skills:
- Teamwork and excellent communication skills
- Willingness to learn new skills, self-development and Problem-solving orientation
- Fail-fast mindset and Solutions approach
- Communicate effectively (oral, writing & presentation)
- Qualification: Masters or Bachelors degree in Aerospace, Mechanical, Computer Science related streams.
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.
Apply Now for Airbus Data Science Engineer Job
How to Apply Airbus Intern 2025
Click on Apply to Official Link Airbus Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Can you describe a project where you developed an ML model using Python?
- How do you approach building a data analytics dashboard for decision-making?
- What is your experience with classification or regression ML techniques?
- Can you share an example of using NLP or time-series analysis in a project?
- How do you ensure data-driven solutions are safe and compliant?
- What familiarity do you have with aerospace or system engineering concepts?
- How do you handle ambiguous requirements in a data science project?
- Can you explain your experience with frameworks like TensorFlow or PyTorch?
- What strategies do you use to stay updated with ML and AI trends?
- How would you contribute to Airbus’ mission of innovative aircraft certification?
