Airbus India Private Limited is hiring Data Science Intern | Bangalore Area — Job Update | Vishal Kushwaha
Overview
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. Ideally, this is a 6 months internship and it should start in January 2027.
Quick Snapshot
| Company | Airbus India Private Limited |
| Position | Data Science Intern |
| Job ID | JR10449782 |
| Location | Bangalore Area |
| Job Type | Internship |
| Experience | Student |
| Qualification | Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. |
| Batch | 2027 |
Eligibility & Qualification
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Required Skills
- 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.
Key Responsibilities
- 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.