Data Science Internship Programs
Master machine learning, statistical analysis, and data storytelling in our intensive 12-week internship. Work on real-world datasets, build production-grade models, and develop the skills to extract meaningful insights from complex data.
Why Choose Our Data Science Internship
Proven results from our comprehensive training programs
Become a Data Scientist
Our Data Science Internship is designed to bridge the gap between academic knowledge and industry requirements. You'll work with real datasets, build production-ready models, and learn to communicate insights effectively to stakeholders.
Machine Learning
Master supervised and unsupervised learning techniques, from classic algorithms to cutting-edge deep learning architectures, with hands-on implementation.
Statistical Analysis
Develop rigorous statistical thinking to design experiments, test hypotheses, and draw valid conclusions from complex, noisy datasets.
Data Wrangling
Learn professional techniques for cleaning, transforming, and enriching messy real-world data to prepare it for analysis.
Why Choose Our Internship
We prepare you for the realities of modern data science roles.
End-to-End Projects
From problem formulation to model deployment, you'll complete full-cycle data science projects that mirror real business challenges.
Industry Datasets
Work with real datasets from healthcare, finance, e-commerce and more - not just cleaned academic datasets.
Stakeholder Focus
Learn to translate technical findings into business recommendations that drive decision-making at all levels.
Production ML
Move beyond Jupyter notebooks to learn model deployment, monitoring, and maintenance in production environments.
Advanced Visualization
Master interactive dashboards and storytelling techniques to communicate complex insights effectively.
Career Support
Get resume reviews, technical interview prep, and connections to our hiring partners in the data science space.
Internship Curriculum
Our comprehensive curriculum covers the essential skills every data scientist needs.
Data Foundations
Master SQL, Pandas, and data cleaning techniques. Learn to handle missing data, outliers, and inconsistent formats in real-world datasets.
Exploratory Analysis
Develop skills in statistical exploration, visualization, and feature engineering to uncover patterns and relationships in data.
Statistical Modeling
Build regression models, perform hypothesis testing, and understand experimental design principles for valid inference.
Machine Learning
Implement supervised and unsupervised learning algorithms. Master evaluation metrics, cross-validation, and hyperparameter tuning.
Deep Learning
Build neural networks for structured and unstructured data. Work with CNNs for computer vision and transformers for NLP tasks.
Capstone Project
Solve a real business problem end-to-end: from data collection and cleaning to model deployment and stakeholder presentation.
Internship Timeline
Our 12-week program is structured to build your skills progressively.
Weeks 1-2: Foundations
Python for data science, Pandas mastery, and SQL for analysis. Learn to clean and explore datasets effectively.
Weeks 3-4: Statistics & Visualization
Probability, statistical testing, and advanced visualization techniques for exploratory data analysis.
Weeks 5-6: Machine Learning
Implement regression, classification, and clustering algorithms. Master model evaluation and validation.
Weeks 7-8: Advanced ML
Feature engineering, ensemble methods, and working with imbalanced datasets. Introduction to model deployment.
Weeks 9-10: Deep Learning
Neural networks, CNNs for computer vision, and transformers for NLP. Transfer learning and fine-tuning.
Weeks 11-12: Capstone
End-to-end project from problem definition to solution deployment. Present findings to industry panel.
Internship Criteria
We're looking for candidates with these qualifications.
Education
- STEM degree (CS, Stats, Math, Engineering, etc.)
- Strong quantitative background
- Basic programming experience
- Minimum 3.0 GPA (or equivalent) preferred
Technical Skills
- Basic Python programming
- Introductory statistics knowledge
- Familiarity with data concepts
- Willingness to learn ML frameworks
Personal Qualities
- Curiosity and problem-solving mindset
- Attention to detail with data
- Ability to communicate findings
- Persistence with challenging problems
- Collaborative team player
Program Options
Choose the option that fits your career goals and learning style.
Standard Internship
- 12-week structured program
- 5 data science projects
- Weekly code reviews
- Group workshops
- Cloud computing credits
- Resume & portfolio review
Premium Internship
- All Standard features plus:
- Weekly 1:1 mentorship
- Resume & portfolio review
- Technical interview coaching
- Extended cloud resources
- Priority job referrals
- Alumni network access
Corporate Sponsored
- Need-based scholarships available
- Commitment to work with partner
- Same curriculum as Premium
- Additional cloud resources
- Potential job offer upon completion
- 1-year work commitment required
Intern Success Stories
Hear from our alumni about their internship experiences and career outcomes.
The capstone project I built during the internship became the centerpiece of my interviews. Being able to walk through my process from data cleaning to model deployment gave me a huge advantage. I accepted a Data Scientist role at a healthcare analytics company.
Coming from a biology background, I needed practical data science experience. The internship gave me the portfolio and confidence to transition into tech. I'm now building recommendation systems at an e-commerce startup.
The emphasis on production ML was invaluable. Learning to deploy models with Flask and Docker set me apart from other candidates. I received multiple offers and chose a role with 50% higher compensation than my previous position.
Frequently Asked Questions
Find answers to common questions about our Data Science Internship.
No prior ML experience is required. We start with fundamental concepts and build up to advanced techniques. What's important is strong quantitative skills and programming fundamentals. Many successful interns came in with no ML background but left job-ready.
We recommend a computer with at least 16GB RAM, a multi-core processor, and dedicated graphics (for deep learning). Most heavy computation will happen in the cloud, but local development benefits from these specs. All operating systems are supported.
A strong foundation in statistics and linear algebra is essential for data science. We cover the necessary mathematical concepts with a practical focus - you'll learn by implementing algorithms rather than deriving proofs. Calculus knowledge is helpful but not required.
Plan for 20-25 hours per week: 6-8 hours of live sessions (evenings/weekends), 8-10 hours on projects, and 6-7 hours of self-paced learning. The program is intensive but structured to help you make consistent progress while balancing other commitments.
Yes! Our career team provides resume reviews, technical interview prep, and connections to hiring partners. Premium interns get priority referrals. While we can't guarantee employment, our 94% placement rate demonstrates our program's effectiveness in preparing candidates for data science roles.
Ready to Launch Your Data Science Career?
Applications for our next cohort are now open. Transform your career in 12 weeks with hands-on data science experience.