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. The Job At-A-Glance: Q2’s Relationship Pricing platform, used by thousands of commercial bankers across hundreds of banks of all sizes, empowers bankers to win better deals and grow stronger relationships. As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate production systems that power the analytics and insights uncovered from one of the world’s largest commercial banking datasets and play an active role in shaping the product roadmap by identifying where data science and AI can create highest business and user value. A Typical Day: Explore and engineer features from large, complex commercial banking datasets including loan pricing, relationship profitability, and deal performance data Design and prototype machine learning models — including pricing recommendation, deal win likelihood, and anomaly detection — and see them through to production deployment Build and evaluate LLM-powered features including RAG pipelines, prompt engineering, and embedding-based retrieval over banking data Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization Collaborate with engineering teams to deploy and maintain production-grade models and analytics systems Mentor junior team members and contribute to best practices in modeling, experimentation, and responsible AI Communicate findings and model insights through compelling visualizations and presentations to both technical and non-technical audiences Bring Your Passion, Do What You Love. Here’s What We’re Looking For: Typically requires a Bachelor’s degree in Data Science, Computer Science, Statistics, or a relevant field and 8 years of related experience; or an advanced degree with 6 years of experience; or equivalent related work experience Strong proficiency in Python or R, SQL, and machine learning libraries Hands-on experience with large language models including prompt engineering, RAG and LLM evaluation frameworks Proven ability to lead end-to-end data science projects from discovery through production Experience writing clean, maintainable code and using version control (e.g., Git). Preferred experience: Familiarity with vector databases and embedding-based retrieval Experience with cloud platforms (AWS, GCP, or Azure) Experience with BI tooling (PowerBI or equivalent) Experience with financial services, banking or fintech – commercial banking familiarity strongly preferred 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. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. 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

Requirements

Must-haves

As passionate about our people as we are about our mission.
Why Join Q2?
What Makes Q2 Special?
Explore and engineer features from large, complex commercial banking datasets including loan pricing, relationship profitability, and deal performance data
Design and prototype machine learning models — including pricing recommendation, deal win likelihood, and anomaly detection — and see them through to production deployment
Build and evaluate LLM-powered features including RAG pipelines, prompt engineering, and embedding-based retrieval over banking data
Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization
Collaborate with engineering teams to deploy and maintain production-grade models and analytics systems
Mentor junior team members and contribute to best practices in modeling, experimentation, and responsible AI
Communicate findings and model insights through compelling visualizations and presentations to both technical and non-technical audiences
Bring Your Passion, Do What You Love. Here’s What We’re Looking For:
Strong proficiency in Python or R, SQL, and machine learning libraries

Nice-to-haves

Familiarity with vector databases and embedding-based retrieval
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with BI tooling (PowerBI or equivalent)
Experience with financial services, banking or fintech – commercial banking familiarity strongly preferred
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.
Health & Wellness
Hybrid Work Opportunities
Flexible Time Off
Career Development & Mentoring Programs
Community Volunteering & Company Philanthropy Programs
Employee Peer Recognition Programs – “You Earned it”

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningllmpythonsqlawsgcpazurego

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Health Insurance

Parental Leave

Wellness