Data Science Intern

Q2

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Cary, NC
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $164k
$95k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $114,400–$214,000.

Based on 240 similar postings.

Employer

About Q2

Q2 Holdings is a cloud-based banking software company providing digital banking solutions to banks, credit unions, and alternative financial companies, including consumer and business banking platforms. Industry: Financial Technology & Digital Banking

Q2 currently has 32 open roles on FindRole.

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At a glance

TL;DR · Data Science Intern

The 2027 Summer Internship - Data Science role offers students an opportunity to engage with data science projects from end-to-end within a team focused on financial technology solutions. You will help define problems, refine requirements, explore data, and prototype solutions while supporting model development. Day-to-day responsibilities include building data pipelines and visualization dashboards for operational insights, researching new approaches to emerging problems, and assisting with testing, monitoring, and bug fixes. To succeed in this role, you should be pursuing a degree in Data Science, Statistics, Computer Science, or a related field. Required skills include proficiency in Python and SQL, experience with machine learning algorithms and packages, and familiarity with Git. You may also have exposure to cloud-native architectures and the software development life cycle while working on digital banking and lending products.

What you'll do

  • Define project problems and refine requirements alongside the team.
  • Explore data sets to identify insights and opportunities.
  • Prototype technical solutions and support model development.
  • Build data pipelines and visualization dashboards for operational insights.
  • Research new approaches to solve emerging technical problems.
  • Support testing, monitoring, and bug fixes for existing products.
  • Gather user feedback to improve product functionality.

What we're looking for

  • Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field.
  • Proficiency in Python and SQL.
  • Coursework or project experience with machine learning algorithms and packages.
  • Familiarity with Git or other version control tools.
  • Fluent written and oral communication in English.
  • Authorization to work for any employer in the U.S.
  • Exposure to cloud-native or service-oriented architectures (preferred).
  • Familiarity with the broader software development life cycle (preferred).

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