What are the responsibilities and job description for the AI Engineer / Data Scientist, AI Experienced Associate position at PwC?
The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Assurance practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. Your role will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will support workstreams involving testing and evaluation of AI-enabled systems, analyze technical evidence and control effectiveness, and develop reusable tools that support responsible, reliable AI deployment.
As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
You will be expected to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.
In this role, you will apply a learning mindset, take ownership of your development, and consistently deliver quality work that drives value for our clients and success as a team.
Responsibilities
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
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.
As part of the AI Engineering team within the Digital Assurance & Technology team, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Assurance practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. Your role will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will support workstreams involving testing and evaluation of AI-enabled systems, analyze technical evidence and control effectiveness, and develop reusable tools that support responsible, reliable AI deployment.
As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
You will be expected to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.
In this role, you will apply a learning mindset, take ownership of your development, and consistently deliver quality work that drives value for our clients and success as a team.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying machine learning models to support client decision-making
- Collaborating with team members to integrate AI solutions into existing data infrastructure
- Conducting complex data analysis to identify patterns and trends
- Utilizing programming languages such as Python to build scalable AI applications
- Applying data modeling techniques to enhance data quality and integration
- Engaging in data wrangling and preprocessing to prepare datasets for analysis
- Building and maintaining relational database management systems for efficient data storage
- Supporting client engagements by providing technical insights and recommendations
- Continuously learning and adapting to new AI technologies and methodologies
- Supporting the design and execution of tests for AI-system behavior, performance, robustness, bias, explainability, and failure modes
- Evaluating technical controls and evidence and clearly documenting findings, limitations, and recommendations
- Developing reusable evaluation tools, automated tests, reference datasets, monitoring capabilities, and evidence workflows
- At least a Bachelor's degree
- At least 1 year of experience
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- Demonstrating proficiency in Python and programming languages for AI solutions
- Applying complex data analysis and pattern recognition to drive insights
- Excelling in teamwork and collaboration within fast-paced environments
- Testing, debugging, and documenting AI-enabled systems to support reliable solution performance.
- Evaluating failure modes, bias, drift, hallucinations, explainability, and guardrails using established methods.
- Measuring and communicating technical outcomes using defined metrics and evaluation approaches.
- Translating technical findings and limitations into clear insights for clients and non-technical stakeholders.
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
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.
Salary : $63,000 - $141,500