Cloud Engineering, Data & Analytics - Data Science Intern - Summer 2027

PwC•Washington, DC

1d•$29 - $48

About The Position

As a Cloud Engineering, Data & Analytics - Data Science Intern, you will support teams in delivering data-driven insights and solutions within PwC’s Advisory practice. You will contribute to projects that help clients pursue sustainable growth and competitive advantage, including data analysis and development of cloud platforms and analytics solutions to support informed decision-making. The internship emphasizes learning and gaining exposure to PwC’s practices. You will support teams with basic tasks and research while observing professional work environments, taking ownership of your development, listening actively, asking questions, expressing ideas clearly, and appreciating diverse perspectives. You will apply data science and analytics skills to help businesses use data, drive innovation, and gain a competitive edge.

Requirements

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

Nice To Haves

Preference for study in one or more of these fields: 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 data science and analytics.
Use Alteryx for data automation and analysis.
Apply machine learning techniques to solve complex problems.
Create dashboards with Tableau for data visualization.
Conduct exploratory data analysis to uncover insights.

Responsibilities

Support teams in developing and implementing cloud platforms and data architectures.
Participate in data analysis projects to drive insight-driven decision-making.
Conduct research and gather information to enhance data-driven insights.
Assist in creating and maintaining dashboards for visualizing key business metrics.
Engage in algorithm development to solve complex data problems.
Use tools such as Alteryx and Power BI to automate analytics processes and improve data visualization.
Collaborate with team members to integrate data from various sources into unified views.
Apply machine learning techniques to analyze large data sets and identify patterns.
Contribute to data quality improvement plans to maintain accuracy and reliability.
Observe and learn from experienced professionals to gain exposure to PwC’s practices and methodologies.