2027 Summer Internship - Data Science
@ Q2 Software, Inc.2027 Summer Internship - Data Science
About the job
Q2 provides digital banking and lending solutions to financial institutions. The internship focuses on data science projects, learning end-to-end data workflows, modeling, and systems integration in a supportive environment.
Requirements
- Proficiency in Python and SQL
- Courses in machine learning
- Interest in data science
- Experience with version control
- Curiosity and ownership
Qualifications
- Pursuing degree in Data Science
- Good communication skills
- Familiarity with Git
- Basic understanding of ML algorithms
- Interest in software development
Full job description
As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week—featuring learning, community service, and culture-building experiences—we create opportunities to connect, grow, and make an impact.
Projects You Could Work On
You'll get exposure to how data science projects come together end-to-end — from defining a problem and exploring data, to prototyping solutions and seeing how they connect to the systems around them. Recent intern projects on this team and others have included building data pipelines and visualization dashboards for operational insights, and researching new approaches to emerging problems.
What You'll Do
- Help define problems and refine requirements alongside the team
- Explore data, prototype solutions, and support model development
- Learn how upstream data pipelines and downstream UIs connect to the systems you're working on
- Support testing, monitoring, and bug fixes, and help gather feedback to improve the product
What You'll Bring
- 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
- Curiosity, ownership, and a genuine interest in the field
Nice to Have
- Exposure to cloud-native or service-oriented architectures
- Familiarity with the broader software development life cycle
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Our Culture & Commitment:
We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact—in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements
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