About the Company

Airbus India Private Limited is actively recruiting a Data Science Intern to contribute to groundbreaking projects within the aerospace sector.

Job Description

Airbus India Private Limited is seeking a highly motivated and analytically driven Data Science Intern to join our dynamic and innovative team. This internship represents a valuable opportunity to gain hands-on experience in the application of data science methodologies to address real-world challenges within the aerospace domain. The successful candidate will contribute to sophisticated projects that are actively shaping the future trajectory of aviation.

Responsibilities

• Aiding in the collection, meticulous cleaning, and comprehensive pre-processing of extensive datasets obtained from diverse sources.
• Implementing statistical analysis and deploying advanced machine learning techniques to derive actionable insights from complex datasets.
• Developing and deploying predictive models designed to address intricate and multifaceted business challenges.
• Creating compelling data visualizations and effectively communicating key findings to both technical and non-technical audiences.
• Collaborating closely with experienced data scientists and data engineers on a variety of ongoing and impactful projects.
• Conducting research and rigorous evaluations of emerging data science tools, innovative techniques, and evolving methodologies.
• Meticulously documenting processes, methodologies, and results to ensure accurate record-keeping and facilitate future reference.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s degree program specializing in Data Science, Computer Science, Statistics, Mathematics, Engineering, or another relevant quantitative discipline.
• Possess a solid foundational understanding of statistical concepts and machine learning & Deep learning algorithms.
• Demonstrate proficiency in at least one programming language commonly utilized in the field of data science (e.g., Python, R).
• Exhibit familiarity with widely used data manipulation libraries such as Pandas and NumPy, as well as machine learning frameworks including Scikit-learn, TensorFlow, and PyTorch.
• Possess a fundamental understanding of SQL for efficient data querying and retrieval processes.
• Exhibit exceptional analytical and problem-solving capabilities.
• Demonstrate strong communication and interpersonal skills, with the capacity to clearly articulate complex technical concepts.
• Display a genuine interest in the aerospace industry coupled with a strong desire to learn and actively contribute to cutting-edge projects.
• Possess the ability to work both independently and collaboratively within a fast-paced and dynamic environment.

Skills

ATS Keywords

Frequently Asked Questions

Other Information

This position requires an understanding of potential compliance risks and a strong commitment to acting with integrity. This commitment is critical, as integrity forms the cornerstone of the Company’s success, overall reputation, and long-term sustainable growth.

By submitting a Curriculum Vitae (CV) or application, candidates are providing consent for Airbus to utilize and store information for monitoring purposes directly related to the application process or future employment opportunities. It’s important to note that this information will be exclusively used by Airbus.

Airbus is deeply committed to achieving workforce diversity and fostering an inclusive working environment for all employees. Airbus welcomes applications from all qualified individuals, irrespective of social and cultural background, age, gender identity, disability, sexual orientation, or religious beliefs.

Airbus has a long-standing and unwavering commitment to equal opportunities for all. As such, Airbus will never request any form of monetary exchange during the recruitment process. Any instances of individuals impersonating Airbus to solicit such payments should be promptly reported to emsom@airbus.com.

At Airbus, we are dedicated to supporting our employees in their ability to work, connect, and collaborate more effectively and flexibly. Wherever feasible, we promote flexible working arrangements to stimulate innovative thinking and enhance overall productivity.

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