Data Science Intern
First seen by Alion on Sep 30, 2026.
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.