Data Science Internship

About the Internship:

Love solving problems with data? Excited about machine learning, AI, and predictive models?Join our Data Scientist Internship, where you’ll attend 1–2 hour live training sessions every Friday and complete short, hands-on ML/data science tasks between Monday to Thursday — all from the comfort of your home.

What You’ll Do:

Weekly Training Sessions (Fridays):

• Attend 1–2 hour live webinars covering core data science concepts
• Topics include Python for data science, statistics, machine learning basics, feature engineering, model building, and evaluation

Weekly Assignments (Mon–Thurs):

• Apply your learnings through short, real-world projects
• Approx. 2–3 hours of work per week
• Sample tasks: build regression/classification models, clean and preprocess data, run exploratory data analysis, train/test simple ML algorithms, visualize model performance

What You’ll Learn:

• Fundamentals of Python for Data Science
• Data preprocessing & feature engineering
• Exploratory Data Analysis (EDA)
• Basics of Machine Learning algorithms (Regression, Classification, Clustering)
• Model evaluation & optimization
• Tools: Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn
• How to turn raw data into predictive insights

Who Can Apply:

• Students or recent graduates from Computer Science, Engineering, Data/Math-related fields (others with strong interest may apply)
• Available for 1–2 hour live training every Friday
• Can dedicate 2–3 hours per week for ML/data science tasks
• Familiar with Python programming and basics of statistics
• Curious, analytical, and eager to learn

What You’ll Get:

• Certificate of Completion
• Hands-on experience with real-world datasets & ML models
• Mentorship from data scientists & industry experts
• Portfolio-worthy ML projects to showcase on GitHub/LinkedIn
• Letter of Recommendation