Data Science Intern

About the Role

• Assist in analyzing datasets, developing data-driven solutions, and applying statistical and machine learning techniques to practical problems.
• Provide practical exposure to data preprocessing, exploratory analysis, model development, evaluation, and visualization.

Key Responsibilities

• Collect, clean, and preprocess datasets for analysis.
• Perform exploratory data analysis to identify patterns and trends.
• Assist in developing and testing machine learning models.
• Apply basic statistical and analytical techniques to datasets.
• Create visualizations to communicate data-driven findings.
• Evaluate model performance and document results.
• Assist in preparing reports and project presentations.
• Research relevant data science techniques and tools.
• Collaborate with team members on practical data science projects.

Requirements & Tech Stack

• Basic knowledge of Python.
• Understanding of statistics and data analysis concepts.
• Familiarity with Pandas, NumPy, or similar libraries is preferred.
• Basic understanding of machine learning concepts is preferred.
• Good analytical and problem-solving skills.
• Good communication and teamwork skills.

Qualifications

• Currently pursuing or recently graduated in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong interest in data science, analytics, and machine learning.
• Willingness to learn and work on practical projects.

Internship Details

• Duration: 3 Months
• Employment Type: Full-Time Internship
• Stipend: Performance-Based, up to ₹7,500/-
• For college students only.

Benefits

• Internship Certificate
• Letter of Recommendation based on performance
• Swags and Goodies
• Opportunity to work on real-world data science projects
• Practical industry exposure and mentorship