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Salary
≈ $8k – $16k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 19, 2026. Airbus scores A on the Alion truth index.

Overview
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Airbus is a European aerospace group formed in 1970 as a consortium of French, German, British and Spanish manufacturers to build a competitor to the American aircraft industry, and now the largest commercial aircraft maker in the world. Its passenger jets run from the A220 through the best-selling A320 family to the A350 widebody, built in an unusual pan-European industrial system where major sections are made in different countries and flown to final assembly lines. Beyond airliners it is the largest civil helicopter maker, builds telecommunications and observation satellites, and supplies military aircraft including the A400M transport.

Job Description:

Data Science Intern

Company:** Airbus India Private Limited

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Job Summary

Airbus India Private Limited is seeking a highly motivated and analytical Data Science Intern to join our innovative team. This internship offers a unique opportunity to gain practical experience in applying data science methodologies to real-world aerospace challenges, contributing to advanced projects that shape the future of aviation.

Job Responsibilities

As a Data Science Intern, you will be involved in various aspects of our data science initiatives, including but not limited to:

* Assisting in the collection, cleaning, and pre-processing of large datasets from various sources.

* Applying statistical analysis and machine learning techniques to extract actionable insights from data.

* Developing and implementing predictive models to solve complex business problems.

* Visualizing data and communicating findings effectively to technical and non-technical stakeholders.

* Collaborating with experienced data scientists and data engineers on ongoing projects.

* Researching and evaluating new data science tools, techniques, and methodologies.

* Documenting processes, methodologies, and results for future reference.

Job Qualifications

To be successful in this internship, candidates should possess the following qualifications:

* Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

* Strong foundational understanding of statistical concepts and machine learning & Deep learning algorithms.

* Proficiency in at least one programming language commonly used in data science (e.g., Python, R).

* Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).

* Basic understanding of SQL for data querying and retrieval.

* Excellent analytical and problem-solving skills.

* Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly.

* A keen interest in the aerospace industry and a desire to learn and contribute to cutting-edge projects.

* Ability to work independently and collaboratively in a fast-paced environment.

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.

Company:

Airbus India Private Limited

Employment Type:

Internship

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Experience Level:

Student

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 [email protected].

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.

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