
Internship, India Innovation Center
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About the Role
- 6 Months Intern - Data Analyst at the Airbus Innovation Center - India & South Asia.
- Responsible for industrializing disruptive technologies by tapping into engineering competencies and leveraging external ecosystems.
- Technology focus areas include decarbonization technologies, artificial intelligence, industrial automation, unmanned air systems, Connectivity, Space Tech, and Autonomy.
- Will work closely with product owners, interpreting and analyzing data for decision-making.
Key Responsibilities
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Contribute to the training, fine-tuning, and evaluation of machine learning and computer vision models.
- Support the development and implementation of data models and algorithms.
- Collaborate with team members to visualize data and present findings effectively.
- Aid in the creation of reports and presentations based on analytical findings.
- Contribute to the optimization of data processes and workflows.
- Document work, including code, experiments, and findings.
- Stay updated with industry trends and emerging technologies in data analytics.
Requirements & Tech Stack
- Proficiency in programming languages such as Python, R, or SQL.
- Familiarity with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Tableau).
- GitHub profile of projects developed.
- Participation in AI-based challenges such as Kaggle with good ranking is preferred.
- Experience or projects with computer vision and 3-D vision will be an added advantage.
- Working knowledge of full-stack programming is an advantage.
Qualifications
- Students in their 3rd or 4th year of engineering, 3rd year bachelor's, or master's in computer science or a related field.
Soft Skills
- Interpersonal communication
- Strong analytical mindset
- Problem-solving mindset
- Keen attention to detail
- Team player
- Creativity
- Adaptability
- Reliability
- Organizational skills
- Flexibility to handle different responsibilities

