Advisory National - AI Engineering Associate - Summer/Fall 2026

PwC • Washington, DC

22d • $61,000 - $100,000

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 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 tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity As an Advisory National - AI Engineering Associate, you will engage in a dynamic environment where you will apply your skills in data modeling, machine learning, and complex data analysis to drive impactful solutions for our clients. Your role will involve designing and implementing innovative data-driven strategies that address real-world challenges, particularly within the advisory sector. You will have the chance to work with a diverse range of industries, leveraging your knowledge to deliver meaningful insights and solutions. As an Associate, you will focus on learning and contributing to client engagements and projects while developing your skills and knowledge. You will be expected to be adaptable and reliable, supporting senior staff and building your professional brand. You will have the opportunity to deepen your technical knowledge of firm services and technology resources, while also enhancing your strengths and addressing development areas. You will be encouraged to use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. In this role at PwC, you will be part of a collaborative team that values curiosity, adaptability, and personal growth. You will have the opportunity to work in a fast-paced environment, where you will be driven by curiosity and take ownership of delivering quality work.

Requirements

• Currently pursuing or have completed a Bachelor's degree
• 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 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
• Excelling in complex data analysis and predictive modeling
• Utilizing machine learning techniques for data-driven decision making
• Engaging in artificial intelligence and natural language processing projects
• Contributing to data engineering and data mining initiatives
• Participating in project management tasks within data science environments
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

• Developing and implementing machine learning models to enhance data-driven decision-making processes
• Conducting complex data analysis to extract meaningful insights and support predictive modeling efforts
• Utilizing programming languages such as C++, R, and MATLAB to build and refine data science algorithms
• Engaging in data engineering tasks to design and maintain efficient data pipelines and data lakes
• Applying natural language processing techniques to process and analyze large text corpora
• Collaborating with cross-functional teams to integrate artificial intelligence solutions into client projects
• Managing project timelines and deliverables to ensure successful completion of data science initiatives
• Leveraging big data technologies to handle and analyze large datasets for improved business outcomes
• Performing statistical analysis to validate data quality and support data mining activities
• Utilizing Scikit-Learn and other machine learning libraries to develop and test innovative solutions

Benefits

• PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
• To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees