Data Science Intern (Summer 2026)

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

*Banking services provided by MVB Bank, Inc., Member FDIC

Data Science Intern Job Description:

The Intuit Credit Karma Intern Program is a 7-11 week paid internship located in Charlotte, NC. During your internship, you will be placed into a team where you will work on various projects to help Credit Karma fulfill our mission to make financial progress possible for everyone. Interns will have the opportunity to participate in weekly meetings, team outings, events, and engage in discussions with CK leadership. If you want to be in a true learning environment and are eager to make an impact, this is the place to be! We will equip you with the tools and techniques you need to be successful wherever your professional journey may take you.

Join one of our Data Science teams as an Intuit-Credit Karma Data Science Intern and gain invaluable hands-on experience at the forefront of the AI transformation of products and experiences. You'll partner with our full-time Data Scientists to tackle complex challenges, building and optimizing the machine learning models that ensure our product remains intuitive and reliable for millions of users.

Please Note: Our summer 2026 internship program will be hosted in-person in Charlotte, NC. 

What you’ll do: 

• Drive Impactful Data Science Projects: Receive hands-on experience in data science projects from inception to completion, including data collection, cleaning, preprocessing, model development, testing, analysis, and interpretation. 
• Collaborate Cross-Functionally: Engage with various teams throughout the Intuit - Credit Karma ecosystem, learning how different functions contribute to our shared mission and build valuable professional relationships that expand your network.
• Innovate and Problem-Solve: Contribute to real-world challenges, developing innovative solutions that directly benefit our users and the company.
• Accelerated Learning: Immerse yourself in a high-performing data science team, gaining practical experience and accelerating your professional development.
• End-to-End Project Ownership: Take ownership of a significant project, managing it from initial concept through to successful delivery within a 7-11 week timeframe.
• Shape Our Products: Directly contribute to a high-impact engineering team, playing a vital role in the development and enhancement of our products.

What’s great about the role:

• Be Part of Something Big: Join a DS team that is rapidly expanding its scope and impact across Credit Karma and the Intuit Consumer Group, tackling significant industry-changing problems. 
• Direct Member Impact: Experience the profound satisfaction of making a meaningful impact on the financial lives of our members through data-driven insights and solutions.
• Dynamic Culture: Thrive in a fast-paced, innovative environment that combines the agility of a startup with the resources and reach of an established industry leader.

Minimum Basic Requirements: 

• Educational Background: Currently pursuing a Bachelor's, Master's, or PhD degree in Data Science or a closely related technical discipline. We require that you have a graduation date at least 4 months after the end of the internship.
• Foundational Data Science Skills: Must be proficient in statistical concepts and methodologies, possess data transformation and ETL experience with both Python and SQL techniques, and have a strong understanding of machine learning algorithms and the ML libraries used to solve different modeling problems.
• Exposure to Artificial Intelligence: AI programs, tools, and concepts.
• Work Authorization: Must be legally authorized to work in the US on a full-time basis during the duration of the internship.
• In Office Requirements: 2026 Interns must be able to work onsite for a minimum of 3 days per week from our of