Airbus Data Science Engineer Internship 2025 | Bangalore, India

Apply now for Airbus Data Science Engineer Internship in Bangalore, India. Gain hands-on experience with real-world projects at a leading global aerospace company.

💻 Airbus Hiring Data Science Engineer Interns

💼 Job Role & Category

Role: Intern – Data Science Engineer
Category: Full-Time Internship


🏢 Why Join Airbus?

Airbus is one of the world’s leading aerospace companies, involved in designing, manufacturing, and delivering commercial aircraft, satellites, and related systems. It has a global presence, with major operations in Europe and India, and is known for pushing the frontiers in aviation safety, digital transformation, regulatory compliance (certification), and sustainable aerospace.

Being part of Airbus gives you exposure to high-stakes systems (aircraft certification, safety, regulation), cutting-edge technologies (ML, NLP, time-series, etc.), and work with teams across continents (India & Europe). It’s a place to learn, innovate, and make real contributions in aviation safety and engineering disciplines.


📝 Job Summary

As a Data Science Engineer Intern in the Certification Technical Directorate (CTD) at Airbus, you will work on aircraft certification-related applications. Your core task is to build data-driven, safe, balanced ML/DL models (classification, regression, NLP, time-series), develop dashboards, build in-house tools for accessing certification databases, prediction tasks (e.g. mod classification), text-based search for similar modifications, and possibly work with future roadmap items like LLMs and AI enhancements. The role demands both technical depth and capability to contribute to regulatory-critical engineering functions.


🔧 Key Responsibilities 🔧

  • 💻 Develop machine learning & deep learning models: classification, regression, time-series, NLP.
  • 📊 Build analytics dashboards and reporting interfaces.
  • 🔍 Design in-house tools for database access with certification data.
  • 🧮 Work on prediction tasks such as modification (mod) classification and determining level of involvement of certification bodies (e.g. EASA panels).
  • 🗣 Implement text-based elastic search features for similarity matching of modifications.
  • 🔮 Explore future AI/ML techniques like LLMs for tool enhancement.

✅ Who Can Apply?

  • 🎓 Qualification: Bachelor’s or Master’s degree in Aerospace, Mechanical, Computer Science-related streams.
  • 💼 Experience Level: Student / Intern level. (The job says Student, so assumed for current students or freshers.)
  • 💻 Required Skills:
      • Machine Learning / Deep Learning code development and deployment
      • Experience with classification, regression, NLP, time-series analysis (plus computer vision / RL if possible)
      • Dashboarding tools: Dash, Power BI, Spotfire, etc.
      • Familiarity with programming in Python, App-script, JavaScript
      • Data science frameworks: scikit-learn, Keras, TensorFlow, PyTorch, Langchain, etc.
      • Environments: Jupyter Notebook / Anaconda / Visual Studio, etc.
  • Good to have (not mandatory): Basic understanding of system engineering & aerospace/aviation, generative AI modelling knowledge, exposure to software development/testing/integration.
  • Soft Skills: Teamwork, excellent communication (oral, presentation, writing), willingness to learn, problem-solving mindset, “fail-fast” orientation, solution focus.

🌍 Work Location & Type

Location: Bangalore, India
Work Type: Full-time Internship (on-site or as per Airbus practices; remote not explicitly mentioned)


💰 Salary Insights

Based on recent data for internships at Airbus in India:

  • Interns at Airbus typically earn around ₹ 29,000 / month on average.
  • On an annualized basis, this works out to approximately ₹ 3.5-4.0 LPA (depending on the number of working months) for a full internship period.
  • Salaries can vary based on the specific technical skills, project responsibility, and the dashboards / ML work you handle.

🎁 Perks & Benefits

Based on Airbus India’s general intern / employee benefits and what is publicly reported:

  • 🏥 Health insurance and additional benefits aligned with location policies.
  • 🤝 Paid leave / bank holidays and possibly paid annual leave (depending on local entity) for interns.
  • 📚 Training, upskilling, mentorship programs and learning resources.
  • ⚖️ Flexible working arrangements where feasible (location, hours) as per Airbus India’s working guidelines.
  • 🌐 Inclusion & diversity focus; inclusive workplace culture.

❓ FAQs

Q: What’s the selection process?
A: Likely steps: resume screening → technical interview(s) on machine learning, data science, possibly ML model building, NLP/time-series tasks → possibly a take-home test or small project → interviews with certification / engineering team.

Q: Is this role remote or onboard/on-site?
A: The job description locates the role in Bangalore. Remote working is not explicitly mentioned, so assume on-site presence or per Airbus India’s policies.

Q: What skills are essential vs nice to have?
A: Essential: ML/DL model building (classification/regression/time-series/NLP), Python or similar, dashboarding tools, communication & problem solving. Nice to have: exposure to aerospace or system engineering, generative AI / LLMs, computer vision / RL, integration/deployment experience.

Q: What is the expected stipend / compensation?
A: Based on public data, interns at Airbus India are paid around ₹ 29,000 / month on average.

Q: When is the last date to apply?
A: Not mentioned in the job description. Apply as soon as possible once role is live.

📢 How to Apply for Airbus Recruitment 2025?

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on “Apply”.
  2. If you have not registered before, create an account.
  3. After registration, log in and fill in the application form with all the necessary details.
  4. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  5. Verify that all the details entered are correct.
  6. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section

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