AIRBUS Off Campus hiring for Intern – Data Analyst Role. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
AIRBUS Off Campus Hiring 2025 – Intern – Data Analyst
| Company name | AIRBUS |
| Website | www.airbus.com |
| Job Role | Intern – Data Analyst |
| Work Location | Bangalore |
| Job Type | Intyernship |
| Experience | Freshers/ Students |
| Qualification | Students 3rd or 4th year engineering, 3rd year bachelors, masters in computer science or related field. |
| Batch | Not mentioned |
| Package | As Per Company Standards |
Job Description
AIRBUS Off Campus Hiring – Intern – Data Analyst
Role Overview
As a Data Analyst Intern at the Airbus Innovation Centre, you will collaborate closely with product owners and contribute to product development by analyzing and interpreting data to support informed decision-making.
Key Responsibilities
- Assist in gathering, cleaning, and structuring large datasets from multiple sources.
- Perform exploratory data analysis to uncover trends, patterns, and insights.
- Contribute to the training, fine-tuning, and assessment of machine learning and computer vision models.
- Help design and implement data models, algorithms, and analytical workflows.
- Work with team members to build visualizations and communicate insights clearly.
- Support the preparation of reports, dashboards, and presentations based on analysis.
- Participate in improving and streamlining data pipelines and processes.
- Maintain proper documentation of code, experiments, and analytical outcomes.
- Keep yourself updated with the latest tools, technologies, and developments in data analytics.
Qualifications
- Currently pursuing 3rd or 4th year engineering, 3rd year bachelor’s degree, or a master’s in computer science or a related discipline.
- Strong programming skills in Python, R, or SQL.
- Experience with data analysis and visualization libraries/tools such as Pandas, Matplotlib, or Tableau.
- A GitHub profile showcasing relevant projects.
- Participation in AI or data competitions (e.g., Kaggle) with good rankings is a plus.
- Exposure to computer vision or 3D vision projects is beneficial.
- Knowledge of full-stack development is an advantage.
Soft Skills
- Effective communication and collaboration abilities.
- Strong analytical thinking and problem-solving skills.
- High attention to detail.
- Team-oriented mindset.
- Creativity and adaptability.
- Dependability and strong work ethic.
- Good organizational skills.
- Flexibility to take on diverse tasks.
AIRBUS Off Campus Hiring 2025 – Data Science Intern
| Company name | AIRBUS |
| Website | www.airbus.com |
| Job Role | Data Science Intern |
| Work Location | Bangalore |
| Job Type | Intyernship |
| Experience | Freshers/ Students |
| Qualification | Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. |
| Batch | Not mentioned |
| Package | As Per Company Standards |
Job Description
AIRBUS Off Campus Hiring – Data Science Intern
Job Summary
Airbus India Private Limited is looking for a driven and detail-oriented Data Science Intern to join its forward-thinking team. This internship provides an excellent chance to gain hands-on experience in applying data science techniques to real aviation challenges, contributing to projects that support future advancements in the aerospace sector.
Job Responsibilities
In this position, you will contribute to a wide range of data science tasks, including:
- Supporting the acquisition, cleaning, and preparation of large datasets from multiple sources.
- Using statistical methods and machine learning approaches to uncover meaningful insights from complex data.
- Building and refining predictive models to address business and operational challenges.
- Creating visualizations and presenting results to both technical and non-technical audiences.
- Working alongside senior data scientists and engineers on ongoing initiatives.
- Exploring and assessing emerging tools, technologies, and methods in the data science domain.
- Keeping clear documentation of workflows, techniques, and outcomes for future use.
Job Qualifications
Candidates applying for this role should meet the following requirements:
- Enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Solid understanding of statistical principles and machine learning or deep learning concepts.
- Experience with at least one programming language commonly used in data science, such as Python or R.
- Knowledge of data handling libraries like NumPy or Pandas, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Basic knowledge of SQL for working with structured data.
- Strong analytical thinking and problem-solving abilities.
- Good communication and interpersonal skills, with the capability to explain technical ideas effectively.
- Interest in the aerospace domain and motivation to learn and contribute to innovative projects.
- Ability to work both independently and collaboratively in a dynamic environment.
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How to Apply?
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- Enter your personal details and any other information requested by the company in the application portal.
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- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
- Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.
About AIRBUS
Airbus is a multinational aerospace corporation headquartered in Toulouse, France. Founded in 1970, the company is now one of the largest aircraft manufacturers in the world, producing a range of commercial and military aircraft. Airbus is known for its commitment to innovation, producing some of the most advanced aircraft in the world, such as the A380 superjumbo and the A350 XWB. With a global workforce of around 135,000 people, Airbus operates in over 170 locations worldwide and continues to push the boundaries of aviation technology.