People-centered projects, data-driven techniques
We’re solving complex business problems with advanced artificial intelligence and machine learning.
Detecting anomalies and fraud
Interpreting images and language
Machine learning on graphs
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