Commercial Technology & Innovation Office - AI Data Science Associate - Summer/Fall 2026

PricewaterhouseCoopers • Rosemont, IL

1d

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 a Commercial Technology & Innovation Office - Data Science Associate, you will engage in the dynamic world of data science and machine learning engineering, contributing to innovative projects that drive impactful solutions. You will be part of a team that leverages cutting-edge technologies to analyze complex data and develop predictive models, enhancing decision-making processes for our clients. As an Associate, you will focus on learning and contributing to client engagements, developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In increasingly complex situations, you will build acumen to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth. In this role, you will have the opportunity to work with a diverse range of data science tools and methodologies, including machine learning libraries, to create impactful solutions. Your contributions will support the development of data-driven strategies and enhance the overall effectiveness of our client support services.

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, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Preference for a 3.3 overall GPA
• Demonstrating proficiency in machine learning and data science algorithms
• Utilizing programming languages such as C++ and R for data analysis
• Excelling in complex data analysis and predictive modeling techniques
• Applying artificial intelligence and natural language processing in projects
• Managing data-driven decision-making processes effectively
• Engaging in project management to support client-focused initiatives
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

• Engaging in data science and machine learning projects to support client needs
• Applying data modeling techniques to organize and structure data efficiently
• Utilizing programming languages such as C++ and R for developing data-driven solutions
• Conducting complex data analysis to extract meaningful insights and inform decision-making
• Implementing machine learning algorithms using libraries to enhance predictive modeling capabilities
• Collaborating with team members to design and maintain data pipelines for seamless data flow
• Leveraging artificial intelligence and natural language processing to develop innovative solutions
• Participating in project management tasks to ensure timely delivery of data science initiatives
• Analyzing large datasets to identify patterns and trends that drive business strategies
• Supporting the development of data engineering processes to improve data accessibility and quality

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: Entry Level