AI Engineering/Data Scientist - Summer 2027 Internship

PricewaterhouseCoopers • Rosemont, IL

13h • $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 AI Engineering/Data Scientist Intern, you will immerse yourself in the dynamic world of data science and machine learning engineering. You will engage with cutting-edge technologies and methodologies, contributing to projects that harness the power of data to drive impactful solutions for clients. As an Intern, you will support teams by participating in projects, observing professional work environments, and conducting research to contribute to the team's success. This role emphasizes learning and gaining exposure to PwC's practices, allowing you to develop your personal brand and build commercial awareness. In this role at PwC, you will have the chance to work on a variety of assignments, each presenting unique challenges and scope. You will be encouraged to ask questions, take initiative, and produce quality work that adds value. Your journey will involve applying a learning mindset, appreciating diverse perspectives, and adopting habits to sustain performance. This opportunity is designed to help you grow and develop your potential, paving the way for future opportunities within the firm.

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 at least 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
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
• Demonstrating proficiency in programming languages such as Python or R
• Applying machine learning techniques to solve complex data problems
• Utilizing natural language processing for data-driven insights
• Engaging in predictive modeling to forecast trends and outcomes
• Supporting data engineering projects with a focus on data quality and integrity

Responsibilities

• Supporting data science and machine learning projects by assisting in the development and implementation of models
• Participating in the design and maintenance of data pipelines to facilitate seamless data flow and integration
• Engaging in complex data analysis to extract meaningful insights and identify patterns using quantitative methods
• Assisting in the application of artificial intelligence and natural language processing techniques to enhance data-driven solutions
• Collaborating with team members to apply programming languages in the development of machine learning algorithms
• Contributing to the creation of predictive models to forecast outcomes and inform decision-making processes
• Assisting in the evaluation and improvement of data quality to validate reliability and accuracy in analytics
• Observing and learning from experienced professionals to gain exposure to data engineering and analytics practices
• Supporting project management activities by coordinating tasks and tracking progress to meet project goals

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees