Assurance Artificial Intelligence Technology – Associate – Summer/Fall 2026

PwC•Washington, DC

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 are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors 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 Associate, you will engage in the dynamic field of data and analytics engineering, focusing on artificial intelligence and machine learning. You will have the chance to work directly with clients, applying your skills in machine learning, generative AI, AI agents, AI development, AI governance, and AI evaluation to deliver impactful solutions. As an Associate, you will be immersed in a learning environment where you will contribute to client projects, develop your technical skills, and build meaningful client connections. You will be encouraged to embrace challenges, ask questions, and use these experiences as opportunities for growth. In this role, you will be part of the Assurance AI team, where you will support senior staff and participate in project tasks. You will develop a deeper understanding of the business context and how your work fits into the overall strategy. By engaging in research and utilizing a broad range of tools, you will generate new ideas and solve problems, contributing to the delivery of quality work. This position offers a unique opportunity to grow your personal brand and deepen your technical knowledge in a supportive and collaborative environment.

Requirements

Currently pursuing or have completed a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Physics, Computational Chemistry, Mathematics
At least a 3.0 overall GPA
Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirements

Nice To Haves

Preference for a 3.3 overall GPA
Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
Excelling in data infrastructure and integration
Utilizing Python and Java for AI solutions
Implementing machine learning libraries like Scikit-Learn
Applying natural language processing techniques
Developing complex data analysis skills
Experience with AI Evaluation

Responsibilities

Developing and implementing machine learning and generative AI model evaluation practices to enhance data-driven decision-making processes
Collaborating with cross-functional teams to assess artificial intelligence solutions embedded in existing systems
Utilizing programming languages such as Python and Java to build scalable data infrastructure and pipelines
Conducting complex data analysis to extract insights and inform strategic initiatives
Managing data quality and integration efforts to support reliable and consistent data outputs
Leveraging open-source software and machine learning libraries to innovate and streamline AI implementations and facilitate AI evaluation
Supporting client engagements by providing technical insights and recommendations for AI technology adoption, evaluation, and governance