Data Science Intern

Role Overview

As a Data Science Intern, you will work closely with our team on real-world data projects and gain hands-on experience in data analysis, data visualization, machine learning, and predictive modeling. This opportunity is ideal for students, fresh graduates, and aspiring Data Scientists looking to build practical experience and a strong project portfolio.

Responsibilities

• Collect, clean, preprocess, and analyze datasets.
• Perform Exploratory Data Analysis (EDA) to identify trends and patterns.
• Create meaningful data visualizations and reports.
• Assist in developing and evaluating machine learning models.
• Apply statistical and analytical techniques to solve business problems.
• Work with Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
• Assist in developing data-driven solutions for real-world projects.
• Collaborate with team members on Data Science and AI/ML projects.
• Document methodologies, findings, and project outcomes.
• Present data-driven insights to the team.

Requirements

• Pursuing or recently completed a degree/diploma in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Basic to intermediate knowledge of Python.
• Knowledge of Pandas, NumPy, Matplotlib/Seaborn.
• Basic understanding of statistics and data analysis.
• Understanding of Machine Learning concepts.
• Knowledge of SQL is an advantage.
• Strong analytical and problem-solving skills.
• Good communication and teamwork skills.
• Willingness to learn and work on real-world projects.

Skills

• Python
• Pandas
• NumPy
• Matplotlib
• Scikit-learn