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Job 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?

Ó£»¨¶¯Âþ is seeking Data Science Interns to join us this Summer (2025). Working side-by-side with Ó£»¨¶¯Âþ'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)

Responsibilities

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 Ó£»¨¶¯Âþ Digital Assistant

Qualifications

• 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

“The pay range for this position is: $35.20 - $54.20 (per hour), and varies based on education and location”