Advisory National - Commercial Tech & Innovation - AI Engineering Intern - Winter 2027

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity

As an Advisory National - Commercial Tech & Innovation - AI Engineering Intern, you will immerse yourself in the dynamic world of data science, contributing to projects that leverage advanced statistical and machine learning techniques to extract insights and drive data-driven decision-making. Within our Advisory practice, you will support teams in delivering specialized advisory services that address unique client needs, helping businesses navigate complex challenges and thrive in a rapidly evolving landscape.

As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects. You will observe professional work environments and contribute reliably to the team's success. This role offers a unique opportunity to develop your personal brand and build commercial awareness while applying a learning mindset. In this role, you will engage in a variety of assignments, each presenting different challenges and scope, allowing you to ask questions, take initiative, and produce quality work that adds value for our clients.

Responsibilities

- Supporting teams in data science projects by applying artificial intelligence and machine learning techniques
- Participating in the development and implementation of predictive models to drive data-driven decision-making
- Assisting in the analysis and interpretation of complex data sets using statistical methods and data mining techniques
- Collaborating with advisory consultants to leverage data science insights for client growth and competitive advantage
- Engaging in the design and maintenance of data pipelines to validate efficient data flow and quality
- Utilizing programming languages such as C++ and R to develop algorithms and enhance data processing capabilities
- Contributing to the creation of data models and data lakes for scalable analytics solutions
- Observing and learning from experienced professionals to gain exposure to PwC's practices and methodologies
- Applying a learning mindset to develop personal skills and understanding of data science workflows

What You Must Have

- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year

What Sets You Apart

- Preference for at least one of the following fields of study: Computer Engineering, Computer Programming, Engineering, Information Technology, Management Information Systems, Statistics, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, Computer Science, Systems Engineering
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating enthusiasm for learning and applying data science techniques
- Participating in projects involving machine learning and predictive modeling
- Supporting teams with data engineering and complex data analysis tasks
- Observing and learning from experienced professionals in AI and data science
- Engaging in active listening and accepting feedback to improve skills

Travel Requirements

Up to 80%

Job Posting End Date

September 25, 2026

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.

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. 

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.

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

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.