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

• PhD in Computer Science or related technical field (will consider Masters students with previous experience)

• 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

• 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

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.