Data Science Intern

Data Science Intern

Company: Thinknovaa

Location: Remote

Duration: Up to 6 months

Batch Start Date: 1st October

About the Program

At Thinknovaa, we're doing things differently. This isn't a traditional job or a standard internship—it's an open collaboration program designed for aspiring data scientists to gain hands-on, real-world experience. If you are self-taught, a student, or transitioning careers, this is a space for you to work with real-world datasets, build practical machine learning projects, strengthen your portfolio, and learn by doing alongside our team.

What You'll Do

Work with Real Data: Collect, clean, preprocess, and explore datasets to identify meaningful patterns and relationships.

Explore & Analyze: Perform exploratory data analysis (EDA) using Python, Pandas, NumPy, and visualization libraries.

Build Machine Learning Models: Develop and experiment with basic machine learning models for classification, regression, clustering, and prediction problems.

Feature Engineering: Prepare and transform data to improve the performance and reliability of machine learning models.

Evaluate Models: Test model performance using appropriate evaluation metrics and communicate the results clearly.

Share Insights: Translate technical findings into practical insights and explain what the data and models mean for real-world problems.

Who You Are

Passionate about data, technology, and problem-solving, with a strong eagerness to learn—no specific degree required.

Comfortable with Python fundamentals and familiar with libraries such as Pandas and NumPy.

Have a basic understanding of statistics, probability, and data analysis concepts.

Familiar with foundational machine learning concepts and algorithms.

Bonus points: If you have experience with Scikit-learn, Matplotlib, Seaborn, SQL, or have previously built machine learning projects.

Curious, analytical, driven, and comfortable asking questions and experimenting with new approaches.

What You Get

Remote & Flexible: Contribute from anywhere, on a schedule that works for you.

Real Portfolio Projects: Work on practical data science and machine learning projects that you can showcase to future employers.

Direct Mentorship: Get feedback, guidance, and practical learning support from our core team.

Hands-On Experience: Gain exposure to the complete data science workflow—from data preparation and analysis to model development and evaluation.

Proof of Impact: Receive a certificate of completion and a strong letter of recommendation for active contributors.

Application Deadline : 26th September

Fill out the application form and join our WhatsApp community for the joining process.