Advisory National - AI Engineering Intern - Summer 2026

PricewaterhouseCoopers•Rosemont, IL

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. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. 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 tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity As an Advisory National - AI Engineering Intern, you will immerse yourself in the dynamic world of data science and machine learning engineering, gaining exposure to cutting-edge technologies and methodologies. This role offers a unique chance to support client-facing projects, where you will contribute to the development and implementation of innovative AI solutions. As an Intern, you will engage in a learning journey, supporting teams with basic tasks, observing professional work environments, and participating in projects that enhance your understanding of PwC's practices. This is an opportunity to develop your personal brand while contributing to the team's success. In this role at PwC, you will apply your skills in data modeling, machine learning, and data engineering to real-world challenges, enhancing your technical capabilities and commercial awareness. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for clients. This experience will provide a foundation for your future career, offering insights into the fast-paced environment of data and analytics engineering.

Requirements

Currently pursuing or have completed a Bachelor's degree
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 one of the following field(s) of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Mathematics, Statistics, Systems Engineering
Preference for a 3.3 overall GPA
Demonstrating proficiency in C++ and R programming languages
Applying knowledge of machine learning and data modeling techniques
Utilizing Scikit-Learn for machine learning projects
Engaging in complex data analysis and predictive modeling
Supporting data-driven decision-making processes
Participating in natural language processing initiatives
Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

Supporting teams in the development and implementation of AI and machine learning models
Assisting in the analysis and interpretation of complex data sets to derive actionable insights
Participating in the design and maintenance of data pipelines and data engineering processes
Engaging in data modeling and predictive modeling to enhance decision-making processes
Collaborating with team members to apply data science algorithms and methodologies
Utilizing programming languages such as C++, R, and MATLAB for data analysis and model development
Contributing to the development of natural language processing solutions and applications
Assisting in the integration of big data technologies to improve data processing capabilities
Learning and applying project management techniques to support project goals and timelines
Observing and participating in client support activities to gain exposure to industry practices