Python Intern

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company: NeoSkillz

Duration:

Work Schedule:

Compensation:

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About NeoSkillz

NeoSkillz is an EdTech company dedicated to igniting innovation through education. We provide industry-relevant training and internships in technology domains like Data Science, AI/ML, Generative AI, Full Stack Development, Python, and more.

Python Internship Program


What You Will Gain (Internship Benefits)

✅ Hands-on experience with Python fundamentals, OOP, data structures, and libraries (NumPy, Pandas, Matplotlib)

✅ Exposure to real-time coding assignments, mini-projects, and team collaboration

✅ Flexible remote work environment with structured mentor guidance

✅ Internship completion certificate + project-based performance certificate

✅ Opportunity for performance-based stipend and consideration for full-time roles

✅ Access to curated learning resources and peer learning groups

✅ Build a professional GitHub portfolio showcasing your Python projects


Eligibility Criteria

📌 Freshers, recent graduates, or early career professionals interested in Python development

📌 Basic understanding of Python programming (loops, functions, OOP concepts)

📌 Familiarity with libraries like NumPy, Pandas, or Matplotlib is a plus

📌 Interest in applying Python for automation, data handling, or web project'


Roles & Responsibilities

  • Write clean, efficient Python code for assignments and projects
  • Work with data handling libraries (NumPy, Pandas) for analysis and transformation
  • Create small-scale applications, scripts, or automation tools
  • Contribute to project documentation and presentations
  • Collaborate with mentors and peers on assigned tasks
  • Stay updated with Python frameworks and industry trends


Why Join NeoSkillz?

At NeoSkillz, we focus on learning by building. Our interns work on practical projects, gain mentorship from industry experts, and receive guidance to prepare for future roles in software development, data analytics, and AI/ML.




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