Data Science Intern
@ IG Tech

Hybrid
₹15,000
Hybrid
Intern
Posted 22 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXX XXXXXXX***** @igtech.com
Recommended after applying

Job Details

Data Science Intern at IG Tech

This internship offers hands-on, project-driven experience bridging academics and industry, where you apply machine learning, statistics, and programming to solve real-world problems.

Internship Details:

  • Location: Remote (Work From Home)
  • Duration: 3 Months
  • Stipend for Top Performers: ₹15,000

What You Will Do:

  • Collect, clean, analyze, and model data
  • Explore statistical methods and machine learning algorithms
  • Create visualizations using tools like Power BI, Tableau or Python libraries

Qualifications:

  • Pursuing or completed a degree in Computer Science, Data Science, Statistics, Mathematics, or related fields
  • Proficient in Python (NumPy, Pandas, Matplotlib, Scikit-learn)
  • Basic understanding of machine learning concepts
  • Familiarity with SQL and data manipulation
  • Strong analytical mindset and problem-solving skills

What You’ll Gain:

  • Practical exposure to data analysis, visualization, and machine learning
  • Experience with real-world datasets and end-to-end projects
  • Internship Certificate & Letter of Recommendation
  • Portfolio of projects demonstrating your data science skills
  • Foundation for a career in Data Science, AI, and Machine Learning

Key skills/competency: Python, Machine Learning, Data Cleaning, Data Analysis, SQL, Data Visualization, Statistics, Pandas, NumPy, Scikit-learn

Apply without a personalized resume

How to Get Hired at IG Tech

🎯 Tips for Getting Hired

  • Research IG Tech's culture: Explore mission, values, and recent achievements.
  • Customize your resume: Emphasize Python and data skills.
  • Prepare project examples: Highlight real dataset experience.
  • Practice technical interviews: Focus on data analytics questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries usage.
Practice SQL queries and data handling.
Study machine learning algorithms basics.
Revisit data visualization techniques.

Behavioral Questions

Describe a time you solved a dataset problem.
Explain your approach to learning new skills.
Tell about a challenging project experience.
Discuss teamwork in a remote setup.

Frequently Asked Questions