Assurance Artificial Intelligence Technology – Intern – Summer 2026

PwC•Washington, DC

1d•$29 - $48

About The Position

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.

Requirements

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.

Nice To Haves

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

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