Commercial Technology & Innovation Office - AI Data Science Intern - Summer 2026
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 a Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering innovative data-driven solutions. You will have the chance to work on projects that involve data modeling, machine learning, and complex data analysis, contributing to the development of cutting-edge technologies. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects. This role emphasizes the importance of adopting a learning mindset and taking ownership of your development while appreciating diverse perspectives. In this role at PwC, you will be part of the Data and Analytics Engineering group, where you will apply your skills in data science and machine learning engineering. You will have the opportunity to observe and learn from experienced professionals, participate in a variety of assignments, and contribute to the success of the team. This is an excellent opportunity to start establishing your personal brand and pave the way for future opportunities in the field of data science.
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, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Preference for a 3.3 overall GPA
- Demonstrating proficiency in C++ and R programming languages
- Utilizing machine learning techniques for data-driven decision making
- Applying data modeling skills to organize and analyze complex datasets
- Engaging in predictive modeling and statistical analysis for insights
- Exploring natural language processing for innovative data solutions
- Supporting project management tasks in data science environments
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
Responsibilities
- Supporting data science and machine learning engineering teams in various projects
- Participating in the development and implementation of data-driven solutions
- Assisting in data modeling to organize and structure complex datasets for analysis
- Engaging in data mining and data engineering tasks to extract meaningful insights
- Applying machine learning techniques to enhance data-driven decision-making processes
- Utilizing programming languages such as C++ and R for data analysis and model development
- Conducting statistical analysis to identify patterns and trends in large datasets
- Collaborating with team members to integrate artificial intelligence and natural language processing into projects
- Learning and applying data science algorithms and methodologies to support project goals
- Gaining exposure to data science practices and contributing to the team's success through research and basic tasks
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What This Job Offers
Career Level
Intern
