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Data Scientist Intern
Data Scientist Intern-March 2024
Mountain View
Mar 16, 2025
ABOUT INTUIT
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve with TurboTax, Credit Karma, QuickBooks, and Mailchimp.
10,000+ employees
Consumer Goods & Services, Financial Services
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About Data Scientist Intern

  Overview

  *This position is intended for students in a degree-seeking program, to which they will return at the end of the summer internship in 2024. 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 40+ 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 (2024). 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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