Data & Analytics Technology Consulting Intern - Summer 2027

PricewaterhouseCoopers•Rosemont, IL
•$29 - $48

About The Position

As a Data & Analytics Technology Consulting Intern in PwC’s Advisory practice, you will learn about PwC’s practices and support project teams through basic tasks and research. You will work alongside experienced professionals and observe how data science, analytics, and artificial intelligence are used to develop data-driven solutions that support innovation, sustainable growth, and competitive advantage for clients. You will be encouraged to ask questions, take initiative, and produce quality work that contributes to client and team outcomes. This is an entry-level role intended to help you build your skills and establish your personal brand at the firm. The position involves supporting data analysis and research, contributing to data-driven solutions and visualizations, assisting with algorithm development and machine learning tasks, and using tools such as Power BI, Tableau, Microsoft SQL Server Data Tools, and Python. Travel may be required up to 80%. The position’s salary range is $29.25–$48.00; actual compensation depends on skills, experience, qualifications, location, and applicable employment laws.

Requirements

  • Currently pursuing or have completed a bachelor's degree.
  • Client service interns are traditionally in the third year of a four-year degree program or the fourth year of a five-year program.
  • Client service interns typically join during the winter/spring or summer prior to their intended graduation year.

Nice To Haves

  • Preferred fields of study include Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, or Management Information Systems.
  • Preferred cumulative GPA of 3.3.
  • Preferred major GPA of 3.3.
  • Leverage AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
  • Develop skills in algorithm development and machine learning.
  • Use tools such as Alteryx, Power BI, and Tableau for data visualization.
  • Conduct analytic research to drive data-driven insights.
  • Apply Python programming for predictive analytics and data processing.

Responsibilities

  • Support teams with data analysis and research to gain insights and contribute to project goals.
  • Participate in the development and implementation of data-driven solutions using tools such as Power BI and Tableau.
  • Assist in creating data visualizations that communicate complex data insights effectively.
  • Engage in algorithm development and machine learning tasks to enhance data processing capabilities.
  • Conduct research and gather information to support data validation and security measures.
  • Use Microsoft SQL Server Data Tools and Python for data manipulation and analysis.
  • Collaborate with team members to apply predictive analytics and generate actionable insights.
  • Observe and learn from experienced professionals to understand data analytics methodologies and practices.
  • Apply a learning mindset to develop skills in data analytics and artificial intelligence technologies.
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