US Tech - AI Engineer, Senior Associate

PwC•Tampa, FL

1d•$55,000 - $187,000•Remote

About The Position

As a US Tech - AI Engineer, Senior Associate you will help develop data science and machine learning solutions that turn complex information into practical insights, using predictive modeling, statistical analysis, and data visualization to support business decisions within our data and analytics engineering practice. As a Senior Associate you will build meaningful stakeholder connections, manage assigned workstreams, interpret feedback, guide junior team members, and navigate ambiguity while deepening your understanding of business context and growing your personal brand. In this role at PwC, you will contribute to internal business services projects, apply analytical thinking to solve problems, and help shape deliverables that support the firm’s technology and data priorities.

Requirements

At least a High School Diploma or the equivalent degree
At least 2 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
Demonstrating experience building AI solutions in team settings
Applying data science methods to complex business problems
Translating technical findings into clear client recommendations
Supporting junior team members through coaching and feedback
Adapting quickly when priorities and requirements shift

Responsibilities

Developing machine learning models and predictive solutions to address complex business problems
Analyzing large data sets to identify patterns, trends, and model performance drivers
Building and maintaining data pipelines, data models, and feature engineering workflows
Applying AI methods, statistical analysis, and programming languages to support solution design and prototyping
Translating business needs into technical requirements for data science and machine learning deliverables
Collaborating with client and internal stakeholders to refine use cases and interpret analytical findings
Reviewing model outputs, validating results, and documenting assumptions, limitations, and recommendations
Supporting junior team members through feedback, technical guidance, and review of assigned work