Want to get hired at Webs IT Solution?

Data Science Intern

Webs IT Solution

HybridHybrid

Original Job Summary

Data Science Intern at Webs IT Solution

Company: Webs IT Solution

Location: Remote

Duration: 3 Months

Employment Opportunity: Potential full-time role with a Certificate of Internship based on performance.

About Webs IT Solution

Webs IT Solution provides practical training and internship programs, focusing on AI, ML, and data-driven technologies.

Role Overview

As a Data Science Intern, you’ll work on end-to-end projects including data preprocessing, machine learning model development, and predictive analytics.

Key Responsibilities

  • Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
  • 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 experienced data scientists.
  • Networking and placement opportunities.

Compensation

Stipend: ₹7,500 – ₹15,000 (Performance-Based)

Key skills/competency

  • Python
  • Machine Learning
  • Data Preprocessing
  • Scikit-learn
  • EDA
  • Data Visualization
  • Matplotlib
  • SQL
  • Pandas
  • Analytical Thinking

How to Get Hired at Webs IT Solution

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills and projects to data science.
  • Highlight technical expertise: Emphasize Python and ML projects.
  • Prepare examples: Showcase past analytical and project work.
  • Network actively: Connect with current Webs IT Solution employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and ML frameworks.
Practice data cleaning and feature engineering tasks.
Study Scikit-learn model evaluation techniques.
Work with real datasets in Jupyter Notebooks.

Behavioral Questions

Describe a challenging project experience.
Explain your approach to problem solving.
Discuss teamwork and communication examples.
Share your learning from feedback experiences.