Overview
This position is intended for students in a degree-seeking program to which they will return to school at the end of the summer internship in 2025, with a graduation date of Winter 2025 or later. If you do not meet these minimum criteria, please revisit our careers site for other opportunities. **
Want to apply your technical skills and innovative ideas on top of the collective financial data of 100+ million consumers and small businesses, and help build data products (in TurboTax, QuickBooks, and Credit Karma) that solve real-world customer problems and power prosperity around the world?
Intuit is seeking Data Science Interns to join us this Summer (2025). Working side-by-side with Intuit's Data Scientists and Machine Learning Engineers – along with Data Analysts, Software Engineers, and product managers – you will help us understand and improve customer experiences with our products by uncovering critical insights and developing machine learning models.
Areas We Are Exploring
- Times series forecasting
- Knowledge Engineering
- Reinforcement Learning/Bandits/Causal Inference
- Image/document understanding
- Intent classification
- NLP/NLU/NLG
- Conversational UI, Chatbots
- Personalization and recommendation
- Deep learning
- Semi-supervised learning
- ML services (autoML, feature recommendation, explainable AI, etc)
What you'll bring
- Must be currently enrolled in a degree seeking program and return to school after internship is complete
- Familiar with machine learning techniques (regression, classification, clustering, optimization, etc) and understand their mathematical foundations
- Ability to explore, discover and import data from multiple sources and make them machine learning ready
- Design and test hypotheses about causes and cures
- Strong programming skills (Python and Scala preferred)
- Excellent communication skills and ability to learn fast
- Experience in developing machine learning solutions to solve real-world problems is a plus
- Experience with Hadoop or Spark is a plus
“The pay range for this position is: $35.20 - $54.20 (per hour), and varies based on education and location”
How you will lead
Sample Intern Projects From Previous Years
- Adversarial Deep Learning ranking algorithms for question-answer forums
- Use topic modeling to link form lines to verbose instruction/publication documents
- Patch-based information extraction using an unsupervised form segmentation algorithm
- Assess agent call quality using call transcript data
- Apply deep learning for transaction time series forecasting with uncertainty estimation
- Explore active learning to improve the event labels used to train our supervised models
- Predict cognitive biases using financial data
- A Deep-Learning Approach to building Temporal Recommendation Models
- Real-Time Churn Prediction Models
- Developing an unsupervised knowledge acquisition for question answering with Pre-trained Language Models
- Developing a customer intent classifier model for Intuit Digital Assistant
