Data Scientist – Retail Pricing

Capitol Federal® Savings Bank•Topeka, KS

13d

About The Position

We are looking for a Data Scientist! This position will play a key role in shaping data-driven strategies that directly influence the bank’s profitability, customer value, and market competitiveness. This role sits at the intersection of analytics, finance, and product strategy — transforming data into pricing intelligence that supports smarter, faster business decisions. Will design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources. Through predictive modeling, elasticity analysis, and scenario testing, will help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities. Collaborating across product, finance, and executive teams, will translate complex analytical findings into clear business recommendations that drive strategic action. Will also contribute to enhancing our analytics infrastructure — improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making. Core Expertise: Pricing strategy · Profitability modeling · Financial forecasting · Machine learning · SQL · Python · R · Data visualization · Strategic analytics · Cross-functional collaboration CapFed® is an equal opportunity employer. About Us - At Capitol Federal® we know a great company starts with great people. Together, we can shape the future of banking in the Midwest. Since 1893, Capitol Federal has remained steadfast in our philosophy of Safety in Savings, Sounds Lending Policies, Quality Customer Service and Commitment to Community. By building strong relationships with customers and relying on our core philosophies, we've developed a positive work environment that focuses on superior service to our customers and delivering opportunities for our employees to grow and succeed.

Requirements

Pricing strategy
Profitability modeling
Financial forecasting
Machine learning
SQL
Python
R
Data visualization
Strategic analytics
Cross-functional collaboration

Responsibilities

Design and implement advanced pricing and profitability models for retail banking products
Leverage internal performance metrics, market benchmarks, and third-party data sources
Optimize deposit and loan pricing
Forecast financial outcomes
Identify growth opportunities
Translate complex analytical findings into clear business recommendations
Enhance analytics infrastructure
Improve data pipelines, model governance, and reporting capabilities

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