Data Science Intern

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

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.