Description

*Job Title: Data Science Intern* *Company Name* : AI READY SCHOOL *Internship Type* : Paid Internship (1st Month Unpaid) *Location* : Hyderabad – Madhapur *Work Mode* : Work From Office *Stipend Structure* * 1st Month: Unpaid (Training Period) * From 2nd Month onwards: ₹10,000 per month *About the Role* AI READY SCHOOL is seeking a highly motivated Data Science Intern with strong analytical skills and a passion for data analysis, statistics, and machine learning. The intern will work closely with the marketing, engineering, and analytics teams to analyze data, build predictive models, and generate insights that support data-driven decision-making. *Roles & Responsibilities* * Collect, clean, and preprocess structured and unstructured datasets * Perform exploratory data analysis (EDA) to identify patterns and trends * Build and evaluate machine learning models (regression, classification, clustering) * Apply statistical techniques to analyze business and marketing data * Develop data visualizations and dashboards for insights and reporting * Support predictive analytics and data-driven decision-making * Work with large datasets and optimize data processing workflows * Collaborate with teams to understand business problems and translate them into data solutions * Document analysis, models, and findings *Technical Skills Required* * Programming: Python * Data Analysis: Pandas, NumPy * Visualization: Matplotlib, Seaborn, Power BI / Tableau (Basic) * Machine Learning: Scikit-learn (Basics) * Databases: SQL, MySQL / PostgreSQL * Statistics: Probability, hypothesis testing (Basic understanding) * Tools (Optional): Jupyter Notebook *Who Can Apply* * Engineering / Computer Science students or fresh graduates * Strong fundamentals in Python, statistics, and SQL * Interest in data science, analytics, and machine learning * Good problem-solving and analytical skills * Willing to work from office in Hyderabad (Madhapur) Regards, Placement Team Henry Harvin Education

Role and Responsibilities

• * Collect, clean, and preprocess structured and unstructured datasets * Perform exploratory data analysis (EDA) to identify patterns and trends * Build and evaluate machine learning models (regression, classification, clustering) * Apply statistical techniques to analyze business and marketing data * Develop data visualizations and dashboards for insights and reporting * Support predictive analytics and data-driven decision-making * Work with large datasets and optimize data processing workflows * Collaborate with teams to understand business problems and translate them into data solutions * Document analysis, models, and findings