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 lake