Welcome to https://www.placement-officer.com/ - Job Portal for
Freshers (We care for Your Placements)
With more than 9 Million Views
Get the latest updates on Jobs for Freshers, Off Campus Drive, Off
Campus Placement, upcoming Off Campus Drive, Government Jobs, Sarkari Naukri,
Internships, Pool Campus Drive, Joint Campus Drive, Jobs for 2026 Batch, 2025 Batch, 2024 Batch, 2023 Batch, 2022
Batch, 2021 Batch, Walk-in-Interview

Airbus Internship Openings 2025 | Intern - Structures Data Analytics in Bangalore | Placement Officer
Summary:
Airbus, a global pioneer in sustainable
aerospace, is offering an exciting full-time internship opportunity in Structures
Data Analytics at its Bangalore facility (Job ID: JR10347394). This is
a prime role for data-savvy individuals with strong Python programming and
statistics fundamentals to apply their skills in the cutting-edge aerospace
sector. The intern will work on real-world projects involving dashboard development,
data-driven decision science, and potentially advanced topics like surrogate
modeling. This post provides a complete guide to the role, including required
technical skills, preferred frameworks, application tips, and how to stand out
in the selection process.
Detailed Job Description: Intern - Structures Data Analytics
Company: Airbus India Private Limited
Job Title: Intern - Structures - Data Analytics
Location: Bangalore, India
Job Requisition ID: JR10347394
Employment Type: Full-time Internship
Experience Level: Entry Level
Job Family: Digital (JF-IM-DI)
About Airbus in India:
Airbus has a rich 50-year heritage in India, fostering a culture of innovation, collaboration, and excellence. Beyond being an economic driver, Airbus is committed to social initiatives and community empowerment. This internship offers a chance to be part of teams in Engineering, R&D, and IT, contributing to sustainable aerospace solutions for a global audience.Role Overview:
This internship is designed for individuals passionate about leveraging data to solve complex engineering problems. You will be immersed in the field of aerospace structures, using data analytics to support decision-making, optimize processes, and contribute to the design and analysis phases. It's a unique blend of data science and aerospace engineering.Key Responsibilities & Learning Outcomes:
·
Develop and
apply strong Python programming skills to solve analytical
problems.
·
Utilize Statistics
& Probability fundamentals to analyze and interpret engineering
data.
·
Create
interactive dashboards and applications using frameworks
like Dash or React.JS.
·
Participate in data-driven
decision science projects to support engineering teams.
·
Gain exposure
to Uncertainty Quantification (UQ) frameworks like OpenTURNS,
Scipy.stats.
·
Potentially work
with Data Science and ML frameworks like Scikit-Learn,
TensorFlow, or PyTorch.
Essential Skills and Eligibility Required
Mandatory Technical Skills:
1. Programming: Strong Python programming skills are
the core requirement.
2. Fundamentals: A strong grasp of Statistics
& Probability is essential for data analysis.
3. Dashboarding: Experience in building dashboards
or web applications using environments like Plotly Dash, Streamlit, or
React.JS.
4. Tools & Environments: Proficiency
with development environments like Jupyter Notebook, Anaconda, or
Visual Studio Code.
Good-to-Have Skills (Not Mandatory but Advantageous):
·
Basic understanding
of System Engineering and the Aerospace/Aviation sector.
·
Basic knowledge
of Engineering Simulations (e.g., FEA, CFD).
·
Familiarity with
advanced concepts like Sensitivity Analysis, Surrogate Modelling, and
Robust Optimization.
Mandatory Soft Skills:
·
Excellent communication skills to
convey complex data insights.
·
Willingness to learn new
skills and a strong orientation for self-development.
·
Problem-solving and solution-oriented mindset.
·
"Fail-fast" approach –
the ability to iterate quickly and learn from mistakes.
·
A curious and research-oriented
mindset.
Pro Tips to Apply for the Airbus Internship
1. Tailor Your Resume for Data & Aerospace: Highlight
projects where you used Python for data analysis (e.g., using
Pandas, NumPy, Matplotlib). Mention any dashboard you built (e.g., "Built
an interactive dashboard using Dash to visualize COVID-19 data"). Use
keywords from the JD like "Statistics," "UQ,"
"Scikit-Learn," and "Data-driven decisioning."
2. Showcase GitHub Projects: A GitHub
profile with well-documented code is invaluable. Include links to Jupyter
notebooks demonstrating data cleaning, statistical analysis, visualization, and
any machine learning models.
3. Research Airbus: Understand what Airbus does.
Familiarize yourself with terms like "aerospace structures,"
"surrogate modeling" (used to create faster computational models),
and "uncertainty quantification" (assessing the impact of
uncertainties in design). Mentioning this in your cover letter shows genuine
interest.
4. Prepare for Technical Interviews: Be
ready to:
o Write clean, efficient Python code on the
spot or in a take-home assignment.
o Explain statistical concepts (e.g.,
p-values, distributions, regression).
o Walk through your past projects and
explain your thought process.
5. Highlight Soft Skills: Prepare
examples using the STAR method (Situation, Task, Action, Result) to
demonstrate your "fail-fast mindset," "problem-solving
orientation," and "communication skills."
6. Apply Using the Official Job ID: Find
the posting on the official Airbus careers portal and apply using the Job
Requisition ID: JR10347394. This ensures your application goes to the right
team.
Frequently Asked Questions (FAQs)
Q1: Is this a paid internship?
A: Yes, internships at global companies like Airbus are typically
paid. The exact stipend is usually disclosed during the offer stage.
Q2: I am an Engineering student from a non-CS branch (Mechanical,
Aerospace). Can I apply?
A: Absolutely. This role is perfect for you. The requirement for
Python and data analytics, combined with a "good to have" preference
for aerospace knowledge, makes students from Mechanical, Aerospace, and related
branches ideal candidates.
Q3: What is the duration of the internship?
A: The notice doesn't specify the exact duration, but most Airbus
internships typically last for 6 months.
Q4: What is the application deadline?
A: The posting was made recently ("Posted Yesterday" as
per the text). It is advised to apply as soon as possible, as roles at Airbus
are highly competitive.
Q5: Where do I apply?
A: You must apply on the official Airbus careers website.
Search for the Job Requisition ID JR10347394 to find the exact
listing.
Q6: Does Airbus ask for money during recruitment?
A: NO. Airbus explicitly states: "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
such request is a scam.
Conclusion
The Structures Data Analytics
Internship at Airbus is a stellar opportunity to bridge the gap
between theoretical knowledge and real-world application in the prestigious
aerospace industry. It offers a chance to work with massive datasets, develop
advanced technical skills, and contribute to projects that define the future of
flight.
If you are a Python enthusiast with a solid foundation in statistics and a passion for turning data into insights, this role in Bangalore is your launchpad. Meticulously prepare your application to highlight your technical projects and problem-solving abilities, and take the first step towards an exhilarating career with a global aerospace leader.
🔗 Apply Link: Click Here To Apply for Airbus
Important Links
Click
Here To Join WhatsApp Group (X)
Click
Here to Join WhatsApp Group Placement Officer (Experienced)
Click Here to get a Free Job Alert on
Email
Click Here To Join Telegram Group
Follow
and Upvote in Quora Space
Click Here To Follow us on Facebook
If you are satisfied
with www.placement-Officer.com then kindly like &
Share with more people
Thanks
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.

0 comments:
Post a Comment