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# GenAI Python Systems Engineer - Experienced Associate

- **Company:** PwC
- **Location:** Kansas City, MO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Information Systems, Python (Programming Language), Machine Learning, Product Software Implementation Methods, Data Processing, Scikit Learn, Information Technology, Data Pipelines, Software Library, Programming Languages
- **Published:** August 28, 2026
- **Apply:** https://www.kansasworks.com/jobs/13651439

## About the Role

At least a Bachelor's degree

 - At least 1 years of experience

What Sets You Apart

 - Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering

## Description

As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver work that drives value for our clients and success as a team, building a personal brand and opening doors to more opportunities.

In this role at PwC, you will engage in designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will be part of a fast-paced environment, where every experience is an opportunity to learn and grow, contributing to the firm's success and your professional development.

Responsibilities

 - Designing and implementing AI systems using Python and machine learning libraries such as Scikit-Learn

 - Developing data pipelines and models to transform raw data into actionable insights for clients

 - Collaborating with team members to support AI-driven automation and cognitive solutions

 - Conducting complex data analysis to discern patterns and inform decision-making

 - Applying programming languages to build scalable AI and machine learning solutions

 - Confirming data quality and integrity throughout the development process

 - Engaging in active listening and accepting feedback to enhance personal growth and team performance

 - Building commercial awareness by understanding how the business works and its impact on client solutions

 - Upholding professional and technical standards, including the Firm's code of conduct and independence requirements


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