Data Science Intern

About the Opportunity

• This is a 3-month paid, remote internship.
• A performance-based stipend of up to ₹10,000 is offered.
• No prior professional experience is required.
• Focus is on developing skills in data analysis, statistical modeling, machine learning, predictive analytics, and data-driven problem-solving.

Key Responsibilities

• Collect, clean, process, and analyze structured and unstructured datasets.
• Perform Exploratory Data Analysis (EDA).
• Work with Python and data science libraries such as Pandas, NumPy, and Scikit-learn.
• Assist in building, training, testing, and evaluating machine learning models.
• Apply statistical methods and predictive analytics.
• Create charts, visualizations, and reports.
• Assist with feature engineering, data preparation, and model performance evaluation.
• Collaborate remotely on assigned data science projects and analytical tasks.

Who Can Apply

• College students from any academic background.
• Freshers and recent graduates interested in Data Science.
• Working professionals looking to expand their analytical and technical skills.
• Career switchers exploring opportunities in Data Science and Machine Learning.
• Self-taught learners and individuals interested in data-driven technologies.
• Candidates with foundational programming or data analysis knowledge.
• Applicants from all educational backgrounds are welcome.

Requirements & Tech Stack

• Basic understanding of Python, data analysis, or related concepts.
• Familiarity with mathematics, statistics, or logical problem-solving.
• Interest in machine learning, predictive analytics, and data interpretation.
• Strong analytical thinking and attention to detail.
• Willingness to learn new technologies and work on practical projects.
• Ability to work independently and complete assigned tasks remotely.
• Knowledge of SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Power BI, Tableau, TensorFlow, or other data science tools is an advantage, not mandatory.