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

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Intern/Trainee

Job Description & Summary

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. Within our Advisory practice, you will have the opportunity to work on projects that guide clients towards sustainable growth and competitive advantage. Your role will involve participating in data analysis and contributing to the development of cloud platforms and analytics solutions that enable informed decision-making.

As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams by performing basic tasks and conducting research, while observing professional work environments. This role emphasizes the importance of adopting a learning mindset and taking ownership of your development. You will be encouraged to actively listen, ask questions, and clearly express ideas, all while appreciating diverse perspectives and contributing to the team's success.

In this role, you will apply your skills in data science and analytics to help businesses harness the power of data, drive innovation, and gain a competitive edge. This is an opportunity to establish your personal brand and pave the way for future opportunities within the field of data and analytics.

Responsibilities

- Supporting teams in the development and implementation of cloud platforms and data architectures
- Participating in data analysis projects to drive insight-driven decision-making
- Conducting research and gathering information to enhance data-driven insights
- Assisting in the creation and maintenance of dashboards for visualizing key business metrics
- Engaging in algorithm development to solve complex data problems
- Utilizing tools like Alteryx and Power BI to automate analytics processes and improve data visualization
- Collaborating with team members to integrate data from various sources into unified views
- Applying machine learning techniques to analyze large data sets and identify patterns
- Contributing to the development of data quality improvement plans to maintain data accuracy and reliability
- Observing and learning from experienced professionals to gain exposure to PwC's practices and methodologies

What You Must Have

- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year

What Sets You Apart

- Preference for at least one of the following fields of study: 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, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Developing skills in data science and analytics
- Utilizing Alteryx for data automation and analysis
- Applying machine learning techniques to solve complex problems
- Creating dashboards with Tableau for data visualization
- Conducting exploratory data analysis to uncover insights

Travel Requirements

Up to 80%

Job Posting End Date

November 13, 2026

The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.