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Opportunities · Part-time opportunity

Market Information and Data Analytics (MIDA) - Data Quality - Intern - Summer 2027

PwC · 4 Locations

Applies on WorkdayNew to UTern today25 days left to apply

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Posted

Sep 1, 2026

Applications close

Sep 26, 2026

25 days left

What matters in this listing

What you'll own

  • You will support teams with basic tasks, participate in projects, and conduct research while observing professional work environments.
  • You will have the opportunity to gather information from various sources to analyze facts and discern patterns, contributing to your development and understanding of the business.
  • Supporting teams in data quality assurance tasks to enhance data accuracy and reliability
  • Participating in data error checking processes to identify and correct inconsistencies

Requirements and eligibility

  • Currently pursuing or have completed a Bachelor's degree
  • At least a 3.0 overall GPA
  • Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application
  • Preference for a 3.5 overall GPA

Preferred, not required

  • Preference for at least one of the following fields of study: Data Analytics and Statistics, Data Processing/Analytics/Science, Finance, Management Information Systems
  • Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
  • The salary range for this position is: $29.
Read the full listing context

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Intern/Trainee Job Description & Summary The Opportunity As an AIT MIDA Data Quality - Intern, you will engage in projects that enhance the accuracy, completeness, and reliability of data, enabling businesses to trust their data for decision-making and reporting purposes.

Within our Assurance practice, you will gain exposure to PwC's methodologies and support teams by performing basic tasks and conducting research. This role emphasizes learning and gaining exposure to professional work environments, where you will observe and contribute to the team's success.

As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams with basic tasks, participate in projects, and conduct research while observing professional work environments.

This role encourages you to apply a learning mindset, appreciate diverse perspectives, and actively listen and communicate effectively. You will have the opportunity to gather information from various sources to analyze facts and discern patterns, contributing to your development and understanding of the business.

In this role, you will be part of a dynamic environment where each assignment presents unique challenges and opportunities for growth. You are encouraged to ask questions, take initiative, and produce quality work that adds value for clients and contributes to the team's success.

Responsibilities - Supporting teams in data quality assurance tasks to enhance data accuracy and reliability - Participating in data error checking processes to identify and correct inconsistencies - Assisting in the development and implementation of data management plans to maintain data integrity - Engaging in data profiling activities to gather informative summaries and statistics - Collaborating with team members to manage independence processes and deliver data analytics for audit compliance - Observing and learning from experienced professionals to gain exposure to PwC's practices and methodologies - Contributing to the creation of data quality improvement plans to strengthen data management processes - Applying a learning mindset to develop skills in data quality assurance and management What You Must Have - Currently pursuing or have completed a Bachelor's degree - At least a 3.

0 overall GPA - Client service intern positions are considered entry-level roles. Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application What Sets You Apart - Preference for at least one of the following fields of study: Data Analytics and Statistics, Data Processing/Analytics/Science, Finance, Management Information Systems - Preference for a 3.

5 overall GPA - Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes - Demonstrating proficiency in data error checking and integrity - Participating in data quality assurance testing processes - Supporting data management and quality improvement initiatives - Engaging in active listening and communication within teams Travel Requirements Up to 20% Job Posting End Date September 26, 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.

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