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Senior Bank Data Scientist Jobs (NOW HIRING)

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior ... Knowledge and experience in the banking industry and banking systems. * Advanced knowledge of data ...

Overview Our International, Open Banking, Product Value Proposition Team is looking for a Senior Data Scientist to develop and drive forward Mastercard's ambitious, data-driven open banking solutions ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Do you want to make a significant impact on complex banking problems and be a driving force in the ... As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ...

Do you want to make a significant impact on complex banking problems and be a driving force in the ... As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ...

Job Summary : nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their Data & AI team. The role involves collaborating with stakeholders to analyze datasets, extract insights ...

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION:

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... provide banking information during the application process and always double check the email ...

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... provide banking information during the application process and always double check the email ...

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Senior Bank Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior bank data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for senior bank data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior bank data scientist do?

A Senior Bank Data Scientist leverages advanced analytical, statistical, and machine learning techniques to analyze large volumes of financial data. They identify trends, detect fraudulent activity, optimize business operations, and support decision-making across various banking functions. Their work often involves collaborating with IT, risk, and business teams to develop predictive models, automate processes, and drive data-driven strategies that enhance profitability and customer experience.

How does a senior bank data scientist typically collaborate with other departments to drive business value?

As a Senior Bank Data Scientist, you will frequently collaborate with cross-functional teams including IT, risk management, marketing, and product development. Your role involves translating complex data insights into actionable strategies, often presenting findings to stakeholders with varying technical backgrounds. Regular communication and teamwork are essential, as you'll work closely with business leaders to identify key opportunities, ensure data solutions align with organizational goals, and support regulatory compliance. This collaborative environment fosters innovation and allows you to see the direct impact of your work on the bank's performance.

What are the key skills and qualifications needed to thrive as a senior bank data scientist, and why are they important?

To thrive as a Senior Bank Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with big data platforms (e.g., Hadoop, Spark) are commonly required, along with certifications in data science or analytics. Strong problem-solving skills, business acumen, and effective communication help you translate complex data insights into actionable strategies for banking stakeholders. These skills are crucial for driving data-driven decision-making, optimizing financial services, and ensuring regulatory compliance in the banking sector.

What is the difference between Senior Bank Data Scientist vs Bank Data Analyst?

AspectSenior Bank Data ScientistBank Data Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's or Master's in Finance, Economics, or related field; basic data analysis skills
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning solutions in bankingPerforms data reporting, trend analysis, and basic data interpretation in banking
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, retail banks, credit unions

The Senior Bank Data Scientist focuses on advanced analytics, machine learning, and predictive modeling to drive strategic decisions, while the Bank Data Analyst handles routine data reporting and basic analysis. Both roles are essential in banking but differ in complexity and technical expertise.

What cities are hiring for Senior Bank Data Scientist jobs?

Cities with the most Senior Bank Data Scientist job openings:

What are the most commonly searched types of Bank Data Scientist jobs?

The most popular types of Bank Data Scientist jobs are:

What states have the most Senior Bank Data Scientist jobs?

States with the most job openings for Senior Bank Data Scientist jobs include:

Senior Data Scientist

Q2

Cary, NC • Hybrid

Full-time

Medical

Posted 22 days ago


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


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About Q2

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Austin, TX, US

Year founded

2004