Data Analyst Internship

Responsibilities

• Assist in collecting, cleaning, and organizing large datasets.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Contribute to training, fine-tuning, and evaluating 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.
• 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

• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Tableau).
• Strong analytical mindset.
• Problem-solving mindset.
• Keen attention to detail.
• Team player.
• Creativity.
• Adaptability.
• Reliability.
• Organizational skills.
• Flexibility to handle different responsibilities.
• Interpersonal communication.

Qualifications

• 3rd or 4th year engineering student.
• 3rd year bachelor's student.
• Master's student in computer science or related field.

Nice to have

• GitHub profile of projects developed.
• Participation in AI-based challenges such as Kaggle with good ranking.
• Experience or projects with computer vision and 3-D vision.
• Working knowledge of full-stack programming.

Airbus is hiring for the role of Data Analyst Intern!

Responsibilities of the Intern

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Contributing 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.
• Documenting your work, including code, experiments and findings.
• Stay updated with industry trends and emerging technologies in data analytics.

Requirements

• Students 3rd or 4th year engineering, 3rd year bachelors, masters in computer science or related field.
• 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 Kaggel with good ranking 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
• 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