Job Information
Intuit Data Science Intern in New York, New York
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.
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