Summer 2026 Data Science Intern (Wilmington, NC or Lehi, UT)

As a Data Science intern, you'll work onsite—preferably in Wilmington, NC, but we're open to Lehi, UT—alongside experienced data scientists to identify business challenges and opportunities in the banking industry. This 12-week, in-person program offers hands-on experience analyzing complex datasets, extracting meaningful insights, and contributing to data-driven solutions that unite people, AI, and data. 

If you're passionate about data science and ready to help transform financial services through intelligent innovation, nCino's Data & AI team is the perfect place to start your career.

Objectives:   

Learn foundational data science methodologies and nCino's approaches to achieving excellence in data science   

Assist with ongoing data science projects, including data preparation, analysis, and solution development   

Develop skills in creating machine learning, predictive modeling, and advanced analytics tools under team guidance   

Apply basic analytical skills and business acumen to help solve routine business problems within the team   

Build communication skills for presenting findings and interacting across analytics and data science functions   

Participate in team meetings, present initial findings, and document processes and learnings   

What you'll gain:   

Application of AI tools and techniques, including automated model development, feature engineering automation, and advanced analytics optimization  

Analyze complex datasets and communicate insights through data visualization and storytelling  

Learn production-level workflows and deployment processes used in real-world data science  

Receive mentorship from experienced data scientists specializing in banking and financial technology  

Develop a strong foundation in nCino’s data science methodologies and best practices  

Technical Requirements:  

Programming: Academic experience with at least one data science language (Python or R preferred)  

Data Handling: Familiarity with data manipulation, cleaning, and transformation  

Statistics & Analysis: Foundational knowledge of statistical methods and data analysis  

Machine Learning: Exposure to machine learning algorithms through coursework or projects  

Visualization: Basic experience creating charts and visualizations for data storytelling  

Databases: Understanding of SQL and database concepts  

Development Practices: Awareness of version control (Git) and programming best practices  

Cloud Tools: Exposure to AWS services is a plus  

Visualization Platforms: Familiarity with tools like Tableau, DOMO, or QuickSight preferred but not required  

Software Practices: Understanding of unit testing and development workflows is a plus  

 Additional Requirements:   

Currently pursuing a Bachelor's degree a recent graduate in Data Science, Statistics, Mathematics, Computer Science, or related field   

Willingness to work onsite at one of our North American locations - Wilmington, NC or Lehi, Utah. 

Full time availability, from May 2026 - August 2026 

This position requires current work authorization in the United States that will not require employer sponsorship now or in the future. We are unable to sponsor or transfer visas for this internship position.  

Strong interest in machine learning, data visualization, and statistical analysis   

Excellent verbal and written communication skills for both technical and non-technical audiences   

Demonstrated ability to work effectively in collaborative team environments   

Flexibility and adaptability to work productively in a fast-paced environment   

Wondering what to anticipate during our recruitment and interview process? Here's a breakdown:   

1. Application Acknowledgment:   

We encourage you to apply to one internship that best aligns with your skills and interests, as all applicants will be considered for every available opportunity within our program.   

You'll promptly receive an email confirming that we've received your application, and it's currently under review by one of our recruiters.   

*If you don't, please check your Junk/Spam folder.   

 2. Technical Assessment: For those who meet the initial qualifications, a technical assessment may be sent to evaluate your analytical and programming skills.  

   3. Recruiter Outreach: If you successfully meet our technical requirements, expect an email from one of our recruiters to schedule a phone call. This is when you'll progress further into the interview process!   

 Stay tuned and prepare for an exciting journey with us!