Coding Intern - Python / Software Development

Job Title: Coding Intern Python / Software Development

Company:

Biz-Tech Analytics is looking for motivated Coding Interns with a strong interest in programming, problem-solving, and software development. The selected candidates will work on coding-related tasks, evaluate code quality, debug programs, and contribute to technical projects.

Key Responsibilities

• Write, test, debug, and optimize code using programming languages such as Python, Java, C++, or JavaScript.
• Solve programming problems and implement efficient solutions.
• Review code for correctness, readability, and performance.
• Identify and fix bugs in existing code.
• Work on technical assignments and project-based tasks.
• Follow project guidelines, quality standards, and deadlines.
• Document solutions and communicate technical issues clearly.

Required Skills

• Basic knowledge of at least one programming language: Python, Java, C++, or JavaScript.
• Understanding of programming fundamentals, data structures, and algorithms.
• Basic knowledge of debugging and testing.
• Strong logical reasoning and problem-solving skills.
• Ability to understand technical instructions and work independently.
• Good written communication skills.

Eligibility Criteria

• Candidates pursuing or having completed a degree in Computer Science, Information Technology, Software Engineering, or a related field may apply.
• Freshers and students with relevant coding knowledge are welcome.
• Candidates must be willing to complete technical assessments as part of the selection process.
• Prior internship or project experience is an advantage but not mandatory.

What We Offer

• Hands-on experience with real-world coding tasks.
• Exposure to software development and technical evaluation workflows.
• An opportunity to strengthen programming and analytical skills.
• A remote, project-oriented working environment.

Interested candidates can apply through Naukri. Shortlisted applicants will be contacted for the next steps in the selection process.