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PwC is a global professional services network focused on audit, assurance, consulting, and tax. Its teams work with organizations across financial services, technology, media, telecommunications, and other industries on challenges such as cybersecurity, business transformation, sustainability, and broader business advisory needs. With operations spanning 157 countries and a workforce of more than 276,000 people, PwC combines industry expertise with specialized solutions designed to help clients create and protect value.
AI Engineer / Data Scientist, AI Experienced Associate — PwC, Chicago Onsite
Build machine-learning systems, data solutions, and evaluation tools for PwC assurance clients. Help support reliable, responsible AI deployment and technical control assessments.
Description
- Design and implement AI systems that turn raw data into actionable insights
- Develop and deploy machine-learning models for client decision-making
- Work with team members to integrate AI solutions into existing data infrastructure
- Analyze complex datasets to uncover patterns and trends
- Use Python to create scalable AI applications
- Apply data-modeling methods to improve data quality and integration
- Wrangle and preprocess data for analysis
- Build and maintain relational database systems for efficient data storage
- Provide technical insights and recommendations during client engagements
- Help design and run tests covering AI-system behavior, performance, robustness, bias, explainability, and failure modes
- Assess technical controls and evidence, documenting findings, limitations, and recommendations
- Create reusable evaluation tools, automated tests, reference datasets, monitoring capabilities, and evidence workflows
- Stay current with emerging AI technologies and methodologies
Requirements
- Bachelor's degree or higher
- At least one year of professional experience
- Preferred academic background in analytics or data science, artificial intelligence or robotics, computer science or information systems, or engineering
- Proficiency in Python and programming languages used for AI solutions
- Experience with complex data analysis and pattern recognition
- Ability to test, debug, and document AI-enabled systems
- Knowledge of methods for evaluating failure modes, bias, drift, hallucinations, explainability, and guardrails
- Ability to measure and communicate technical outcomes using defined metrics and evaluation methods
- Ability to explain technical findings and limitations clearly to clients and nontechnical stakeholders
- Willingness to travel up to 20%
- Must not require PwC sponsorship through the H-1B lottery now or in the future, except as allowed under the stated policy
Benefits
- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Holiday pay
- Vacation
- Personal and family sick leave
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