People-centered projects, data-driven techniques

We’re solving complex business problems with advanced artificial intelligence and machine learning.

Detecting anomalies and fraud

Protecting customers by identifying discrepancies and detecting fraud

Interpreting images and language

Using images and speech to understand communication and provide solutions

Managing relationships

Improving business relationships with customers by focusing on better segmentation, acquisition, cross- selling and retention

Machine learning on graphs

Discovering structures and relationships among customers to provide insights about households, business partners and subsidiaries

Explaining models

Ensuring model fairness and ethics, preventing bias and promoting transparency

Scaling-up

Developing and deploying agile models at scale

A diverse, inclusive team

Our tight-knit data science and analytics team is made up of leaders from a variety of disciplines, including physics, engineering, applied mathematics, computer science and finance. Even more powerful than our academic diversity? Our cultural diversity.

Team members come from 11 countries and span a wide range of backgrounds and analytical experiences to bring valuable perspectives to their work. These diverse viewpoints allow for more creative problem solving and better risk mitigation. And the team's constant sharing of ideas and research means you'll be growing and evolving with the foremost leaders in the field.

The people behind the models

Hear from the data scientists, AI engineers and product managers that make up our team, and get their take on what it’s like to work at U.S. Bank

Besides all the great technical work we do, we have a very fun, collaborative and knowledge-seeking team. It’s enjoyable to work on projects with everyone from a wide variety of cultural and educational backgrounds.

– Christine, Data scientist

We're able to work on a breadth of projects and apply multiple techniques to keep improving. We even have a paper club where we discuss the latest models to keep up with innovations and apply them in our work.

– Ankur, Data scientist

I have a Frankenstein background with physics, math, aerospace engineering and scientific computing. I transitioned into data science, and I'm glad I did, especially at U.S. Bank. Being a data scientist on our team is like being Sherlock Holmes and solving cases alongside other experts.

– Carlos, Data scientist

What makes me excited to turn on my computer in the morning is my team. You can be fully you with all your talents and quirks, and know for a fact that you are completely supported and accepted.

– Tina, AI portfolio manager

Hear what others are saying about us.

LinkedIn names U.S. Bank on 50 best workplaces to grow your career list

Our ranking is based on advancement opportunities, skill development and more.

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U.S. Bank climbs the list of top companies for diversity

DiversityInc also placed U.S. Bank on several specialty lists including Top Companies for Philanthropy.

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U.S. Bank is one of the World’s Most Ethical Companies

We’ve earned the honor from the Ethisphere® Institute seven years in a row.

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Let's connect.

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We hire for positions on a case-by-case basis. Send us your resume so we can stay in touch.

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Disclosures

Credit products offered by U.S. Bank National Association and subject to normal credit approval.

Deposit products are offered by U.S. Bank National Association. Member FDIC.

Loan approval is subject to credit approval and program guidelines. Not all loan programs are available in all states for all loan amounts. Interest rate and program terms are subject to change without notice. Mortgage, Home Equity and Credit products are offered through U.S. Bank National Association. Deposit products are offered through U.S. Bank National Association. Member FDIC.