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.