Friday, September 12, 2025

Airbus Internship Openings 2026 | Data Science Engineer Intern | Bangalore | Placement Officer

 

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Airbus Internship Openings 2026 | Data Science Engineer Intern | Bangalore | Placement Officer

 

Summary

Airbus, a global pioneer in sustainable aerospace, is offering a highly specialized internship for 2026 in Bangalore. They are seeking a passionate Data Science Engineer Intern to join their Certification Technical Directorate (CTD) team. This is a unique opportunity to apply data science and machine learning to the critical field of aircraft certification.

·         Role: Intern – Data Science Engineer

·         Requisition ID: JR10347607

·         Eligibility: Masters or Bachelors degree in Aerospace, Mechanical, Computer Science, or related streams.

·         Location: Bangalore, India

·         Team: Certification Technical Directorate (CTD)

·         Key Skills: Machine Learning, Deep Learning, NLP, Python, Dashboarding (Power BI, Dash)

This role is perfect for those who want to merge their data science expertise with the complex, safety-critical world of aerospace engineering.


Detailed Internship Description: Data Science Engineer Intern

This internship is situated at the fascinating intersection of data science and aerospace regulation. You will not be working on theoretical problems but on real-world applications that directly impact the safety and airworthiness of aircraft.

Internship Title: Intern – Data Science Engineer
Company: Airbus India Private Limited
Requisition ID: JR10347607
Department: Certification Technical Directorate (CTD)
Location: Bangalore, India
Job Type: Full-time Internship
Experience Level: Student

About the Team: Certification Technical Directorate (CTD)

The CTD team is responsible for the entire aircraft certification process, from initial design to ensuring the continued airworthiness of planes in service. It's a team of Certification Engineers, Managers, and Experts who ensure that every Airbus aircraft meets the highest global safety standards.

Key Responsibilities:

As an intern, you will be tasked with:

·         Developing and deploying machine learning and deep learning models for classification, regression, time-series analysis, and natural language processing (NLP).

·         Building analytics dashboards (using tools like Dash, Power BI, Spotfire) to enable data-driven decision-making for the certification team.

·         Working on in-house tool development to access certification databases and build predictive features.

·         Applying ML algorithms to predict Mod classification, understand requirements, and identify similar modifications through text-based search.

·         Exploring advanced AI/ML algorithms like LLMs (Large Language Models) and NLP for future tool enhancement.

What Airbus Offers You:

·         Impactful Work: Contribute directly to projects that ensure the safety of millions of airline passengers.

·         Expert Mentorship: Learn from a dynamic team of certification experts based in India and Europe.

·         Cutting-Edge Tech: Work with state-of-the-art data science frameworks and tackle challenges in Generative AI and LLMs.

·         Inclusive Culture: Be part of a diverse and inclusive working environment that Airbus is renowned for.

·         Career Gateway: A prestigious internship that can be a significant stepping stone to a full-time career in aerospace tech.

Eligibility Criteria

·         Educational Qualification: Currently pursuing or recently completed a Masters or Bachelors degree in Aerospace Engineering, Mechanical Engineering, Computer Science, or a closely related field.

·         Technical Skills (Mandatory):

o    Machine Learning & Deep Learning code development and deployment.

o    Experience with Python and frameworks like Scikit-Learn, Keras, TensorFlow, PyTorch.

o    Experience in building dashboards using Dash, Power BI, or Spotfire.

o    Knowledge of NLP, Time-series Analysis, Classification, and Regression models.

·         Technical Skills (Good to Have):

o    Basic understanding of System Engineering and Aerospace/Aviation.

o    Knowledge of Generative AI and Large Language Models (LLMs).

o    Exposure to software development, testing, and verification.

o    Familiarity with other languages like App-script or Java-script.

Required Soft Skills

·         Teamwork & Communication: Excellent collaboration and communication skills (oral, written, and presentation).

·         Learning Mindset: Strong willingness to learn new skills and a proactive approach to self-development.

·         Problem-Solving: A solutions-oriented and problem-solving mindset.

·         Adaptability: A "fail-fast" mindset, comfortable with iterative development and learning from mistakes.

Why Join This Airbus Internship?

·         Prestige: Add a global aerospace leader to your resume.

·         Domain Knowledge: Gain rare insight into the critical and niche field of aircraft certification, a domain few data scientists get to experience.

·         Skill Application: Move beyond academic projects and apply ML to solve complex, real-world engineering problems with tangible outcomes.

·         Networking: Connect with professionals and experts in both aerospace and data science fields.


Pro Tips to Strengthen Your Application

1.       Tailor Your Resume: Use keywords from the job description like "certification," "NLP," "dashboarding," "Python," "TensorFlow," and "in-house tool development."

2.      Showcase Projects: Have a GitHub portfolio ready with projects demonstrating your skills in ML, NLP, and dashboard development. Describe the business problem, your approach, and the outcome.

3.      Research the Domain: Spend time understanding what aircraft certification entails. This shows genuine interest and initiative.

4.     Prepare for Interviews: Be ready to discuss:

o    Your technical projects in depth.

o    How you would approach a problem like "classifying aircraft modifications."

o    Your understanding of basic ML concepts and algorithms.

o    Why you want to work at Airbus specifically.

5.      Highlight Soft Skills: Provide examples that demonstrate your teamwork, communication, and problem-solving abilities.

Frequently Asked Questions (FAQs)

Q1: Is this a paid internship?
A: While the stipend is not disclosed, internships at multinational corporations like Airbus are typically paid competitive stipends.

Q2: What is the duration of the internship?
A: The exact duration is not specified, but it is likely to be for 6 months, which is standard for such in-depth technical roles.

Q3: Are only 2026 pass-outs eligible?
A: The posting is for an internship in 2026. It is typically targeted at students in their pre-final year (for Bachelors) or final year (for Masters) who will be available to intern in 2026.

Q4: What is the selection process?
A: The process likely involves application screening followed by technical and HR interview rounds to assess both your data science skills and cultural fit.

Q5: Will this internship lead to a Pre-Placement Offer (PPO)?
A: While there is no guarantee, performing exceptionally well in a specialized internship like this significantly increases your chances of receiving a full-time offer from Airbus.

Conclusion

The Airbus Data Science Engineer Internship is more than just a coding role; it's a mission-critical position that sits at the heart of aviation safety. It offers a unparalleled opportunity to use cutting-edge data science to solve some of the most complex challenges in the aerospace industry.

If you have a passion for data, a curiosity for aviation, and the skills to build impactful models, this is the perfect platform to launch your career. Don't miss the chance to help pioneer sustainable aerospace and let your career take flight with Airbus. 

🔗 Apply Link: Click Here To Apply for Airbus 

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

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