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.

Created: 2024-11-05