Cloud Engineering, Data & Analytics - Data Science Intern - Summer 2026

PwC • Washington, DC

6d • $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 Cloud Engineering, Data & Analytics - Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering data-driven insights and solutions. This role offers a unique chance to immerse yourself in the world of data science, working alongside seasoned professionals to analyze complex datasets and contribute to impactful projects. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects that enhance your understanding of data analytics and its applications. In this role at PwC, you will have the opportunity to develop your skills in data modeling, financial data mining, and machine learning, while also gaining hands-on experience with tools like Python and statistical analysis software. You will be encouraged to ask questions, take initiative, and produce quality work that adds value to our clients and contributes to our team's success. This is an exciting opportunity to start building your personal brand and pave the way for future opportunities in the field of data science.

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: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics
• Preference for a 3.3 overall GPA
• Demonstrating proficiency in Python for data analysis
• Utilizing machine learning techniques for predictive analytics
• Applying data visualization skills with Tableau and Power BI
• Conducting complex data analysis to derive actionable insights
• Developing algorithms to enhance data processing efficiency
• Engaging in analytic research to support data-driven decisions
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

• Supporting teams in data analysis and analytics projects to gain exposure to industry practices
• Conducting research and gathering information to assist in the development of data-driven insights
• Participating in algorithm development and machine learning initiatives to enhance predictive analytics capabilities
• Utilizing tools such as Alteryx, Power BI, and Tableau for data visualization and complex data analysis
• Assisting in data validation and data security processes to maintain data integrity
• Engaging in customer analysis and business data analytics to inform strategic decision-making
• Applying Python programming skills to develop and refine data models and statistical analysis
• Collaborating with team members to create dashboards and reports that communicate key performance indicators and trends

What This Job Offers

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