Data & Analytics Technology Consulting Intern - Summer 2026

PwC•Washington, DC

1d•$29 - $48

About The Position

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving 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 & Analytics Technology Consulting Intern, you will engage in a dynamic environment where you will support teams in delivering data-driven insights and solutions to clients. This role offers a unique chance to immerse yourself in the world of data analysis, financial data mining, and machine learning, providing you with the opportunity to apply your analytical skills to real-world challenges. You will be part of a team that leverages cutting-edge technology to transform data into actionable insights, helping clients make informed decisions. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects. You will have the opportunity to observe and contribute to professional work environments, developing your personal brand while gaining valuable experience. This role emphasizes a learning mindset, encouraging you to ask questions, take initiative, and produce quality work that adds value to our clients and contributes to our team's success. In this role, you will be part of a collaborative team that values diverse perspectives and fosters a culture of continuous improvement. You will have the chance to work on a variety of assignments, each presenting unique challenges and opportunities for growth.

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: Accounting & Technology, Analytics, Business Analytics, Computer and Information Science, Computer and Information Science & Accounting, Computer Programming, Data Processing/Analytics/Science, Finance & Technology, Information Technology, Information Technology & Accounting, Management Information Systems
Preference for a 3.3 overall GPA
Demonstrating proficiency in Python and machine learning
Utilizing Microsoft Power Query and SQL Server Data Tools
Excelling in data visualization with Power BI and Tableau
Conducting thorough statistical and predictive analytics
Applying data modeling techniques for structured data organization
Supporting client-focused technology consulting projects
Engaging in analytic research to develop data-driven insights
Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

Supporting teams in data analysis and visualization projects to gain practical experience
Participating in the development of data-driven insights using tools like Power BI and Tableau
Assisting in the creation and maintenance of data models to support business analytics
Conducting research and gathering information to enhance data quality and integrity
Engaging in algorithm development and machine learning tasks to improve data processing
Utilizing Python and SQL Server Data Tools for data manipulation and analysis
Collaborating with team members to validate data security measures and protocols
Applying statistical analysis techniques to interpret complex data sets
Contributing to the preparation of reports and dashboards for client presentations
Observing and learning from experienced professionals to build foundational skills in data analytics