Data Science Intern

About the Role

• Assist in analyzing datasets.
• Develop data-driven solutions.
• Apply statistical and machine learning techniques to practical problems.
• Gain 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.

Perks & 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.
• Performance-based stipend up to ₹7,500/-.