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PNC's Approach to AI Exploration

While PNC Bank prides itself for being “brilliantly boring” when it comes to managing the business, it is still a place of creativity and experimentation. Our sandbox, PNC Labs, is a lively, interesting place to play with artificial intelligence (AI), and we’re always looking for new, inquisitive talent to join. And it’s not just a matter of experimenting in a conceptual way. PNC software engineers and data scientists get to see those ideas come to fruition.

Employee Reviews

Senthil Kumar Jeyachandran

“[AI] has the potential to revolutionize the banking and financial industry by enhancing financial product innovation, personalizing customer experiences, accelerating fraud detection, enhancing risk management, boosting operational efficiency and, thus, enabling entirely new forms of innovation and interaction.”

Senthil Kumar Jeyachandran, Senior Software Architect


Senthil Kumar Jeyachandran, a PNC senior software architect, has worked in IT for more than 20 years, starting his career at IBM. In his current role, he leads the solution architecture for Document AI and Conversational AI and uses PNC lab space to explore new ideas. Having the ability to experiment in an environment and test in a safe space enables him and his team to refine their approach and model. With the freedom to play with ideas around products and services before starting to build, the result is a more high-performing, scalable solution for the business.


Robert Smith

“One of the things I really enjoy about PNC is the amount of agency you have in working on these problems. My input and my decisions are really valued. I have a lot of control in developing these models and a great team to work with and learn from.”

Robert Smith, Senior Data Scientist


Senior Data Scientist Robert Smith is a former business analyst who likes the diversity of projects that comes in working on the client side at PNC. Smith works with AI in PNC’s Intelligent Automation team. Its mission is simple: apply ingenuity around how we do business. His team acts as internal consultants. The lines of business will come with an idea, and the team will offer up data scientists like Smith to analyze possible solutions. They get to work in a sandbox environment and conduct analytics that help move the needle forward.

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