Data Science Intern
@ IG Tech

Hybrid
₹15,000
Hybrid
Intern
Posted 21 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXX****** @inlighntech.com
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Job Details

About Data Science Intern

INLIGHN TECH provides hands-on, project-driven virtual internships that bridge the gap between academics and industry. This Data Science Internship is designed to help students and graduates apply machine learning, statistics, and programming to solve real-world problems.

Internship Overview

As a Data Science Intern, you will gain experience in collecting, cleaning, analyzing, and modeling data to extract actionable insights. You will explore statistical methods, machine learning algorithms, and visualization techniques while working on real datasets.

Qualifications

  • Pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
  • Proficiency in Python (NumPy, Pandas, Matplotlib, Scikit-learn).
  • Basic understanding of machine learning concepts.
  • Familiarity with SQL and data manipulation.
  • Knowledge of data visualization tools such as Power BI, Tableau, or Python libraries.
  • 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.
  • A portfolio of projects to showcase your data science skills.
  • Foundation for careers in Data Science, AI, and Machine Learning.

Key skills/competency

  • Data Analysis
  • Machine Learning
  • Python
  • SQL
  • Data Cleaning
  • Statistical Methods
  • Visualization
  • Pandas
  • Problem Solving
  • Data Modeling
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How to Get Hired at IG Tech

🎯 Tips for Getting Hired

  • Research IG Tech's culture: Understand mission, projects, and values on LinkedIn.
  • Customize your resume: Highlight relevant data science projects and skills.
  • Prepare coding samples: Share Python and machine learning work.
  • Practice interviews: Prepare to discuss analytical and project experiences.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and machine learning algorithms.
Practice data cleaning and manipulation tasks.
Study statistical methods and data visualization tools.
Familiarize with SQL and real-world datasets.

Behavioral Questions

Describe your project teamwork experience.
Explain your problem-solving approach.
Discuss a challenge in data analysis.
Share a learning experience during projects.

Frequently Asked Questions