Data Science Intern
@ Webs IT Solution

Hybrid
₹15,000
Hybrid
Intern
Posted 4 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXX***** @websitsolution.com
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Job Details

About the Role

As a Data Science Intern at Webs IT Solution, you will work on end-to-end projects involving data preprocessing, machine learning model development, and predictive analytics.

Key Responsibilities

  • Perform data cleaning, feature engineering, and exploratory data analysis.
  • Build and evaluate machine learning models using Scikit-learn.
  • Visualize data insights using Matplotlib, Seaborn, or Power BI.
  • Work on real datasets to generate predictive solutions.
  • Collaborate with mentors to refine model performance.

Requirements

  • Knowledge of Python, Pandas, NumPy, Scikit-learn, and Matplotlib.
  • Understanding of ML algorithms, data preprocessing, and evaluation metrics.
  • Familiarity with SQL and Jupyter Notebooks.
  • Strong analytical thinking and curiosity for data-driven problem-solving.

Perks & Benefits

  • Certificate of Internship from Webs IT Solution.
  • Hands-on experience in ML and AI projects.
  • Mentorship from data scientists.
  • Networking and placement opportunities.
  • Paid stipend based on performance (₹7,500 – ₹15,000).

Key skills/competency

Data cleaning, feature engineering, machine learning, predictive analytics, Python, Pandas, NumPy, Scikit-learn, visualization, SQL

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How to Get Hired at Webs IT Solution

🎯 Tips for Getting Hired

  • Research Webs IT Solution: Understand their training programs and culture.
  • Customize your resume: Highlight relevant data science projects and skills.
  • Apply with clarity: Emphasize experience in Python and ML libraries.
  • Prepare for interviews: Review data cleaning, modeling, and visualization techniques.

📝 Interview Preparation Advice

Technical Preparation

Review Python data libraries.
Practice data cleaning techniques.
Master ML model evaluation.
Familiarize with Jupyter Notebooks.

Behavioral Questions

Describe a challenging data project.
Explain your learning process in ML.
How do you collaborate with mentors?
Discuss problem-solving in data analysis.

Frequently Asked Questions