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Data Science Intern

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Intuit

3mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Mountain View

AI generated summary

  • You must be enrolled in a degree program, have a PhD or relevant experience, know machine learning, possess strong Python/Scala skills, and have excellent communication. Experience with Hadoop/Spark is a plus.
  • You will collaborate with data scientists and engineers to analyze customer data, develop machine learning models, and tackle projects in areas like NLP, recommendation systems, and forecasting.

Requirements

  • 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

Responsibilities

  • 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.
  • 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)
  • 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

FAQs

What is the eligibility criteria for the Data Science Intern position?

To be eligible, candidates must be currently enrolled in a degree-seeking program and must return to school after completing the internship. Candidates should have a graduation date of Winter 2025 or later.

What educational background is required for this internship?

The position requires a PhD in Computer Science or a related technical field. Masters students with previous experience will also be considered.

What programming languages should candidates be proficient in?

Candidates should have strong programming skills, preferably in Python and Scala.

What kind of projects might interns work on during the internship?

Interns may work on projects such as adversarial deep learning algorithms, topic modeling, patch-based information extraction, transaction time series forecasting, active learning, and developing customer intent classifiers, among others.

Is prior experience in machine learning necessary for this role?

While prior experience in developing machine learning solutions is a plus, it is not strictly required. Familiarity with machine learning techniques and their mathematical foundations is essential.

Are there opportunities for published works in this internship?

Yes, having published works in top-tier data science and machine learning conferences such as KDD, ICML, and ACL is a plus, though it is not a requirement.

Will interns receive mentorship during the internship?

Yes, interns will work side-by-side with Intuit's Data Scientists, Machine Learning Engineers, Data Analysts, Software Engineers, and product managers, providing ample mentorship and learning opportunities.

What problem areas does this internship aim to address?

The internship focuses on analyzing and improving customer experiences by uncovering insights from financial data and developing machine learning models that address real-world customer problems.

Can I apply if I am graduating before Winter 2025?

No, candidates must have a graduation date of Winter 2025 or later to be eligible for this internship.

Are there specific areas of machine learning that this internship emphasizes?

Yes, the internship explores various areas, including time series forecasting, reinforcement learning, natural language processing, deep learning, and personalization/recommendation systems.

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Intuit

The global financial technology platform that powers prosperity with TurboTax, Credit Karma, QuickBooks, and Mailchimp,.

Technology
Industry
10,001+
Employees
1983
Founded Year

Mission & Purpose

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.