Data Science Intern

Intuit

Sep 20

Applications are closed

Internship
Full-time
Summer Internship
Data
Research & Development
Mountain View

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

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.
Design and test hypotheses about causes and cures
Explore, discover and import data from multiple sources and make them machine learning ready
Developing machine learning solutions to solve real-world problems
Apply deep learning for transaction time series forecasting with uncertainty estimation
Assess agent call quality using call transcript data
Predict cognitive biases using financial data
Developing a customer intent classifier model for Intuit Digital Assistant
Explore active learning to improve the event labels used to train our supervised models
Real-Time Churn Prediction Models
A Deep-Learning Approach to building Temporal Recommendation Models
Patch-based information extraction using an unsupervised form segmentation algorithm
Use topic modeling to link form lines to verbose instruction/publication documents
Adversarial Deep Learning ranking algorithms for question-answer forums

FAQs

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

Applicants must be currently enrolled in a degree-seeking program and must return to school after the internship is complete, with a graduation date of Winter 2025 or later.

What educational background is preferred for this internship?

The ideal candidate holds a PhD in Computer Science or a related technical field, although Master's students with previous experience will also be considered.

Which programming languages should candidates be proficient in?

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

What types of projects can interns expect to work on?

Interns may work on various projects, including adversarial deep learning algorithms, topic modeling, transaction time series forecasting, and developing customer intent classifiers, among others.

What experience is considered a plus for this internship?

Experience in developing machine learning solutions, working with Hadoop or Spark, and having published works in top-tier data science and machine learning conferences are considered advantageous.

What machine learning techniques should candidates be familiar with?

Candidates should be familiar with techniques such as regression, classification, clustering, optimization, and should understand their mathematical foundations.

Will I be working independently during the internship?

No, interns will work side-by-side with Intuit's Data Scientists, Machine Learning Engineers, Data Analysts, Software Engineers, and product managers to enhance customer experiences.

How long is the internship program?

The internship program is scheduled for the Summer of 2025.

Is there a preference for research experience in the application?

Yes, having published works in leading data science and machine learning conferences is a plus.

What kind of insights will interns contribute to during their internship?

Interns will help uncover critical insights and develop machine learning models that aim to improve customer experiences with Intuit products.

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.