PricewaterhouseCoopers LLP· Professional Services· Oct 13, 2026 · 14d ago
FL-Tampa, FL
Location
Hybrid
Work mode
Full-time
Schedule
Senior
Level
$55K–$187K
Compensation
2+ years exp
Experience
Job description
The Opportunity
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.
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
What You Must Have
- At least a High School Diploma or the equivalent degree
- At least 2 years of experience
What Sets You Apart
- 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
The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: pwc.to
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: pwc.to
#LI-Remote,#LI-Hybrid
Requirements
Must-haves
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
What You Must Have
At least a High School Diploma or the equivalent degree
At least 2 years of experience
What Sets You Apart
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
#LI-Remote,#LI-Hybrid
Nice-to-haves
None flagged.
Application prep
Use the role’s language and application details while tailoring your materials.