Digital Assurance & Transparency Tech & Data Intern – Summer 2023

Time Type: Full-time
Travel Requirements: Up to 20%
A career in our Analytics Data Assurance practice, within Risk Assurance Compliance and Analytics services, will provide you with the opportunity to assist clients in developing analytics and technology solutions that help them detect, monitor, and predict risk. Using advanced technology, we’re able to focus on establishing the right controls, processes and structures for our clients to ensure that decisions are based on accurate information and assure that information provided to third parties is accurate, complete, and can be trusted. Our team helps business leaders navigate evolving risks by staying ahead of uncertainty by developing smart infrastructure and harnessing data through analytics. As a part of the team, you’ll help us develop cost effective technology solutions that focus on delivering relevant, actionable intelligence that executives need to understand operations and manage critical risks.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As an Intern / Trainee, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Be curious and try new things.
  • Learn about how PwC works as a business and adds value to clients.
  • Think broadly and ask questions about data, facts and other information.
  • Support research, analysis and problem solving using a variety of tools and techniques.
  • Produce high quality work which adheres to the relevant professional standards.
  • Keep up-to-date with technical developments for area of specialism.
  • Handle, manipulate and analyse data and information responsibly.
  • Communicate confidently in a clear, concise and articulate manner – verbally and in materials produced.
  • Embrace different points of view and welcome opposing and conflicting ideas.
  • Uphold the firm’s code of ethics and business conduct.

An Intern in PwC’s Tech & Data team will:

  • Support select phases of a financial statement audit, consulting projects and/or a system implementation program;
  • Support data analysis and identify anomalies in the data;
  • Demonstrate creative thinking and initiative while working as a team member, building relationships with team members;
  • Seek guidance, clarification and feedback proactively; and,
  • Demonstrate flexibility in prioritizing and completing tasks while exercising professional skepticism.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required:
Bachelor Degree

Required Fields of Study:
Accounting, Management Information Systems, Management Information Systems & Accounting, Statistics, Mathematics, Engineering, Analytics, Computer Programming, Computer and Information Science, Business Administration/Management

Minimum Years of Experience:
0 year(s)

Preferred Qualifications :

Degree Preferred:
Master Degree

Additional Educational Preferences:

Preferred cumulative GPA: 3.3

Preferred major GPA: 3.3

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 during the winter/spring or summer prior to their intended graduation year.

Preferred Knowledge/Skills:

Candidates for a Tech & Data Intern role within our Digital Assurance & Transparency practice demonstrate some abilities and/or a proven record of success in the following areas:

  • Building relationships with diverse project teams as well as clients;
  • Communicating in an organized and knowledgeable manner & delivering clear requests for information;
  • Demonstrating flexibility in prioritizing & completing tasks;
  • Contributing to a positive working environment & seeking guidance, clarification and feedback;
  • Communicating potential conflicts to a supervisor proactively;
  • Learning how the development and maintenance of digital solutions is governed via portfolio, program, and team management;
  • Understanding risks and leading practices in project management, Systems Development Life Cycles, and agile techniques;
  • Understanding end-to-end business processes across various ERP systems or cloud based solutions (Salesforce, SAP, Workday, Oracle and other industry-specific systems);
  • Learning and applying data analytics techniques while utilizing problem solving skills to conduct quantitative and qualitative analyses using a diverse set of technology applications and tools (i.e. Excel, SQL, R, Python, Tableau, Alteryx, etc); and,
  • Learning the risk and controls in the business process and the application and database layer.

Demonstrates some abilities and/or a proven record of success in exhibiting general awareness about global issues to identify & address client needs by:

  • Utilizing critical thinking that breaks down complex problems, understands root causes, and proposes viable solutions while maintaining quality;
  • Working in collaborative and team based environment, delivering with diverse global client, PwC and third-party teams, and learning accounting principles and business processes;
  • Learning how to evaluate, cleanse, design, and implement data models using data mining techniques; understand business intelligence and relational database concepts;
  • Understanding big data objectives, concepts, and technologies;
  • Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview);
  • Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies;
  • Demonstrating interest to independently learn business processes and technologies;
  • Understanding various facets of business and/or IT processes, concepts of enterprise risk, internal controls, ERPs and CRMs, cloud solutions, corporate compliance and regulatory mandates, portfolio, program, and agile team management, technical aspects of information systems, financial reporting concepts, & systems development methodology; and,
  • Exhibiting flexibility and demonstrating excellent oral and written communication skills.

For positions in Colorado, visit the following link for information related to Colorado’s Equal Pay for Equal Work Act: https://pwc.to/coloradoassuranceintern .

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

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

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.

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