Data Science Intern

Job description

## About the Role Skillzenloop is offering a Data Science Internship for freshers and aspiring data professionals. The program focuses on data preparation, statistical analysis, Python programming, visualization, and introductory machine‑learning. Interns will work on real‑world analytical assignments while building technical and problem‑solving abilities. ## Key Responsibilities - Collect, clean, and prepare datasets for analysis and modeling. - Perform exploratory data analysis to uncover patterns and relationships. - Use Python (Pandas, NumPy) for data manipulation and basic statistical methods. - Create visualizations to communicate findings. - Assist in preparing data for machine‑learning models and implement simple algorithms. - Document processing steps, evaluate model performance, and present results in an understandable manner. ## Who Can Apply - Freshers, recent graduates, or final‑year students in Computer Science, Data Science, Statistics, Mathematics, IT, BCA, B.Tech, B.Sc, MCA, or related fields. - Candidates who have completed data‑science courses, certifications, academic or personal projects and are eager to start a career in Data Science, ML, Analytics, or AI. ## Required Skills - Basic Python programming. - Familiarity with Pandas and NumPy. - Understanding of fundamental statistics and probability. - Data cleaning & preprocessing concepts. - Basic data‑visualization knowledge. - SQL fundamentals. - Analytical thinking and pattern recognition. - Introductory machine‑learning concepts. ## Preferred Skills - Experience with Matplotlib or similar libraries. - Knowledge of Scikit‑learn, regression & classification. - Experience with Jupyter Notebook/Google Colab. - Basic MySQL or PostgreSQL. - Exposure to Power BI or Tableau. - Experience with Kaggle datasets. ## Benefits - Stipend of ₹16,500 per month (≈ 2 LPA). - Remote work flexibility. - Hands‑on experience with real data projects. - Opportunity to build a portfolio and network with industry professionals.

Required skills

Compensation