Data Science Intern

Overview

This internship position is designed for students who are currently enrolled in a degree-seeking program and plan to return to school after the summer internship in 2025, with a graduation date of Winter 2025 or later. If you do not meet these criteria, please check our careers site for other opportunities.

Do you want to apply your technical skills and innovative ideas to the collective financial data of over 100 million consumers and small businesses? Help us 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 alongside Intuit's Data Scientists and Machine Learning Engineers, as well as 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

• Time 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 the internship is complete
• PhD in Computer Science or related technical field (Masters students with previous experience will be considered)
• Familiarity with machine learning techniques (regression, classification, clustering, optimization, etc) and understanding of 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
• Published works in top-tier data science and machine learning conferences such as KDD, ICML, NIPS, ICLR, ACL, SIGIR, WWW, CVPR, SIGMOD, etc. is a plus

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

Join us to gain hands-on experience and contribute to impactful projects that drive innovation and customer satisfaction.