Principal Associate, Data Scientist - Retail Bank Valuations Data Science
Capital One Financial
At a glance
AI generatedAs a Principal Associate, Data Scientist on the Bank Operations Data Science team, you will play a pivotal role in shaping the future of back office operations by leveraging advanced data analytics and machine learning to forecast customer cash needs and identify operational inefficiencies. Your day-to-day responsibilities include building light web applications for forecasting and optimization tasks, ensuring that front-line agents can interpret and act on your findings effectively. You will work with large datasets using open-source programming languages such as Python or R, alongside relational databases and AWS services. This role requires a strong background in data analytics, machine learning, and statistical analysis, ideally at the master’s or PhD level, to tackle complex business challenges within the retail banking sector.
Skills
What you'll do
What we're looking for
Market check
This $161,800–$184,600 range sits above 63% of similar postings on FindRole.
Peer median band
$114,400–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$135,000–$198,000
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 489 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.
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