Data Science Intern | Python • Machine Learning • Predictive Analytics Lab

Data Science Intern — Job Post

About the Role

data-driven problem solving, predictive modeling, and analytical workflows

Key Responsibilities

• Work with structured datasets for analysis and model development
• Perform data cleaning, preprocessing, and exploratory data analysis (EDA)
• Build basic predictive models using Python-based libraries
• Analyze patterns, trends, and business signals from data
• Document insights and present outcomes in a structured, decision-ready format

Tools & Skills Exposure

• Python (NumPy, Pandas, Matplotlib / Seaborn – exposure-based)
• Exploratory Data Analysis (EDA)
• Basic Machine Learning concepts (regression, classification – exposure)
• Data visualization and insight communication
• Analytical thinking and problem structuring

What You’ll Gain

• Hands-on exposure to real-world data science use cases
• Portfolio-ready projects and analytical case studies
• Structured mentorship and review cycles

• Top performers receive 100% placement assistance

Internship Details

• Mode: Remote / Virtual
• Duration: Flexible (1–6 months)
• Stipend: Not stipend-based
• Eligibility: Students, fresh graduates, and career switchers with analytical mindset