AI Intern

PLS•Chicago, IL

2d•Onsite

About The Position

This job is located at 1 S. Wacker Dr., Chicago, IL, 60606 PLS ® Overview: Why PLS? Because You Deserve Better! ® PLS — which stands for People – Location – Service — is a leading retail provider of financial services. The “P” comes first, because our customers are at the center of everything we do, and we recognize that it’s our exceptional team members who go above and beyond every day. The PLS Group, headquartered in Chicago, is comprised of over 200 financial service centers in 12 states. Through our check cashing stores, we provide consumers with convenient financial products and services to help them manage their day-to-day financial needs. Although many of our customers have banking relationships, we believe that our customers use our financial services because they are convenient, transparent, and frequently more affordable than available traditional alternatives. PLS was founded in 1997 by Bob and Dan Wolfberg, who serve as Co-Presidents. Position Overview: The AI Intern will identify, develop, and improve artificial intelligence and machine learning solutions that support company goals. This role is ideal for a student or recent graduate who is eager to gain hands-on experience working with data, AI models, automation tools, and emerging technologies.

Requirements

Currently pursuing or recently completed a Bachelor of Science in Computer Science, Data Science, Artificial Intelligence, Statistics, Information Systems, Business Analytics, or a related field.
Working knowledge of Python and SQL
Hands-on experience using AI tools to create efficiencies
Basic experience with the Microsoft technology stack
Strong analytical, problem-solving, and critical-thinking skills.
Ability to learn quickly, manage tasks independently, and collaborate in a team environment.
Strong written and verbal communication skills.

Responsibilities

Collaborate with cross-functional teams to understand business needs and identify opportunities to leverage AI.
Design, develop, test, and optimize AI solutions.
Research AI trends, tools, frameworks, and best practices to support ongoing projects.
Evaluate model performance, identify issues, document findings, and make recommendations for continuous improvement.
Present insights to technical and non-technical stakeholders.
Follow responsible AI, data privacy, and security guidelines in all project work.