At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. As part of generative AI at PwC, you will be is responsible for leading the development of AI and GenAI solutions, including analytical modeling and prompt engineering. You will also have an expertise in AI/GenAI architectures including design, testing, deployment and maintenance, leading to end-to-end solutions.​

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC Financial Crime and Regulations Compliance and audit guidance), uphold the Firm's code of conduct and independence requirements.

The Opportunity

As an Assurance Artificial Intelligence Technology Intern, you will gain hands-on exposure to the field of data and analytics engineering with a focus on artificial intelligence and machine learning. This role provides an opportunity to learn how AI technologies, including machine learning, generative AI, AI agents, AI governance, and AI evaluation, are applied in a professional services environment to support assurance services and client needs.

As an Intern, you will work alongside experienced professionals and support client engagements by participating in project tasks, conducting research, and assisting with technical deliverables. You will be immersed in a collaborative learning environment where you are encouraged to ask questions, take initiative, and build foundational technical and professional skills. Through this experience, you will gain insight into PwC’s methodologies, tools, and business context, while developing your personal brand and understanding how AI solutions support broader assurance strategies. This role is designed to provide exposure to real-world applications of AI technology while helping you build a strong foundation for a future career in assurance, data, and analytics.

Responsibilities

- Supporting AI and data analytics projects by assisting with model development, evaluation, and documentation

-Participating in machine learning and generative AI model evaluation activities to support data-driven insights

-Assisting in the assessment of artificial intelligence solutions embedded in existing systems

-Conducting data analysis under guidance to extract insights and support project objectives

-Supporting data quality, integration, and validation efforts to ensure reliable outputs

-Utilizing programming languages such as Python and Java to assist with data pipelines and AI-related tasks

-Leveraging open-source software and machine learning libraries to support AI development and evaluation efforts

-Conducting research on emerging AI technologies, governance practices, and evaluation techniques

-Assisting client engagement teams by preparing analyses, documentation, and technical materials

-Collaborating with team members to complete project tasks within defined timelines

-Observing and participating in professional work environments to gain exposure to PwC practices and assurance methodologies

-Contributing to team success by performing assigned tasks and supporting senior team members as needed

What You Must Have

- Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Physics, Computational Chemistry, Mathematics, or a related field

-At least a 3.0 overall GPA

-Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application. Winter internships typically occur during the spring semester preceding the student’s final year of school. Summer internships typically take place during the summer preceding the student’s final year of school.

What Sets You Apart

- Preference for a 3.3 overall GPA

-Demonstrated interest in artificial intelligence, machine learning, and data analytics

-Enthusiasm for learning and applying AI technologies in a professional setting

-Exposure to Python or Java through coursework or projects

-Familiarity with machine learning libraries such as Scikit-Learn

-Interest in natural language processing and generative AI concepts

-Curiosity about AI governance, ethics, and evaluation practices

-Strong analytical thinking and problem-solving skills

-Ability to collaborate effectively within team environments

Learn more about how we work: https://pwc.to/how-we-work

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.

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.

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.



The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.