Cloud Engineering, Data & Analytics - Data Science Intern - Summer 2027 at PwC | Atlanta, GA, US | Rezi

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

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

PwC · Atlanta, GA, US

1 weeks ago

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

PwC · Atlanta, GA, US

10 days ago
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About the Role

As a Cloud Engineering, Data & Analytics - Data Science Intern, you will support teams in delivering data-driven insights and solutions within the Advisory practice. You will work on projects guiding clients towards sustainable growth and competitive advantage, participating in data analysis and contributing to cloud platforms and analytics solutions. This role emphasizes learning, gaining exposure to PwC's practices, and developing your skills in data science and analytics to help businesses harness data, drive innovation, and gain a competitive edge.

Responsibilities

  • Support teams in the development and implementation of cloud platforms and data architectures.
  • Participate in data analysis projects to drive insight-driven decision-making.
  • Conduct research and gather information to enhance data-driven insights.
  • Assist in the creation and maintenance of dashboards for visualizing key business metrics.
  • Engage in algorithm development to solve complex data problems.
  • Utilize tools like Alteryx and Power BI to automate analytics processes and improve data visualization.
  • Collaborate with team members to integrate data from various sources into unified views.
  • Apply machine learning techniques to analyze large data sets and identify patterns.
  • Contribute to the development of data quality improvement plans to maintain data accuracy and reliability.
  • Observe and learn from experienced professionals to gain exposure to PwC's practices and methodologies.

Requirements

  • 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.

Skills

  • 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

Work Type

  • Up to 80% travel

Experience Level

  • Intern/Trainee

Education Level

  • Bachelor's degree

Salary/Compensations

  • $29.25 - $48.00

About the Company

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

Equal Opportunity

  • 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.
  • 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.