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About the Role
Q2 is a leading provider of digital banking and lending solutions. Our mission is to build strong and diverse communities through innovative financial technology by empowering our people to help create success for our customers.
Responsibilities
- 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
Requirements
- 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
- Fluent written and oral communication in English
- Authorized to work for any employer in the U.S. (sponsorship not available)
Skills
- Python
- SQL
- Machine learning algorithms
- Git
- Version control
Location
- U.S.
Work Type
- Full-time
Experience Level
- Intern
Education Level
- Degree in Data Science, Statistics, Computer Science, or a related field
Benefits
- Resources for physical, mental, and professional well-being
- Volunteer work and nonprofit support through our Spark Program
About the Company
- 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.
- We celebrate our employees through year-round Q2 ChangeMakers awards program and global moments of recognition and connection.
- We invest in the growth and development of team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships.
- We foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized.
- We believe in making an impact—in the industry and in the community.
Equal Opportunity
- 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.