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Senior Bank Data Scientist Jobs (NOW HIRING)

Rich Data Co

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

AI helps business and commercial bankers know more, do more, and grow more by turning complex data ... A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to ...

Rich Data Co

Senior Data Scientist

San Jose, CA · On-site

AI helps business and commercial bankers know more, do more, and grow more by turning complex data ... A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

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 ...

nCino

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 ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$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 ...

nCino

Senior Data Scientist

Lehi, UT · On-site

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 ...

Nova Credit

Senior Data Scientist

New York, NY · On-site

$168K - $199K/yr

THE OPPORTUNITY The Senior Data Scientist role will be part of the Data Science team at Nova Credit ... Utilize bank transaction data to develop attributes for credit risk assessment, income verification ...

Nova Credit

Senior Data Scientist

New York, NY · Hybrid

$168K - $199K/yr

THE OPPORTUNITY The Senior Data Scientist role will be part of the Data Science team at Nova Credit ... Utilize bank transaction data to develop attributes for credit risk assessment, income verification ...

Lendistry

Sr. Data Scientist

Dallas, TX · On-site

The Senior Data Scientist works with Credit, Risk, and Engineering teams to build and maintain ... Work with diverse data sources including business credit bureau data, bank transaction data ...

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Senior Bank Data Scientist information

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$142.5K

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

As of Jun 16, 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.

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 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 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.

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 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 Bank Data Scientist jobs near you

Senior Data Scientist

Rich Data Co

San Jose, CA • On-site

$150K - $175K/yr

Full-time

PTO

Posted 12 days ago

Job description

About RDC.AI
What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence. Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value. We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome drives real impact.
Join the AI Revolution
Award-Winning Innovation
  • Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform)
  • Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category)

Cutting-Edge Technology
  • Building agentic AI solutions that solve real world banking problems
  • We are live in major banks, making millions of decisions, generating tens of millions in value
  • Highest security accreditations: SOC2 Type 2 and ISO 27001 certified

5-Star Employer Experience
  • Named "Best Companies to Work For" by HRD Australia (2023)
  • High-performance teams working alongside industry-leading data scientists and credit experts
  • Vibrant, innovative culture that celebrates wins and solves complex problems together

Global Impact & Growth
  • Fast-expanding presence across Australia, New Zealand, and North America
  • Helping drive financial inclusion through fair, accessible, sustainable credit
  • Opportunity to gain AI expertise and international experience in a rapidly growing market

Work-Life Excellence
  • Flexible working arrangements - work how's right for you
  • Collaborative, agile environment where your contributions matter
  • Be part of a mission that's transforming financial services globally

RDC.AI North America offers:
  • Competitive benefits package (80% of premiums paid by RDC.ai)
  • 12 paid holidays
  • 20 days PTO per year + 5 paid personal or sick days per year
  • Paid Maternity/Paternity leave

Ready to shape the future of intelligent banking? Join us.
About the Role
RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include:
  • Design, present & document AI-based initiatives to our clients, typically banking and risk executives.
  • Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs.
  • Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform.
  • Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America
  • Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space.

About the Candidate
Essential-Experience/Skills
  • Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
  • 5+ years of data science experience, ideally in credit risk or financial services.
  • Experience developing and managing quantitative credit risk models including credit decisioning models.
  • Programming experience in Python for 3+ years.
  • Programming in SQL for 1+ years.
  • Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking.
  • Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.)
  • Experience presenting to technical, and non-technical stakeholders, including senior leadership.
  • Excellent communication and client engagement skills.
  • Ability to travel within North America (estimated 25% travel).

Desired-Experience/Skills
  • Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
  • Experience with commercial and/or business lending.
  • Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data.
  • Understanding the decision-making process behind the lending process.
  • Experience in credit risk analysis, strategy design, and monitoring.
  • Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)

Apply