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Location
Remote/Hybrid (Charlotte, United States)
Seniority
Intern
Employment
Internship
Overview
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The Vanguard Group is one of the world's largest investment management companies, best known for pioneering index investing and offering low-cost mutual funds and exchange-traded funds (ETFs). Founded in 1975 by John C. Bogle, the firm operates under a unique investor-owned structure, where its funds are owned by their shareholders, who in turn own the company itself. Today, it manages trillions of dollars in assets globally, providing retail and institutional investors with a broad portfolio of financial products, retirement planning, and wealth management services.

Job Description

Launch your career in advanced analytics with Vanguard’s College to Corporate (C2C) Internship Program. As a Data Scientist intern, you’llhelp apply advanced analytics, machine learning, and AI to solve business problems and support data-driven decision-making. This immersive internship combines real-world project work, mentorship, and structured development to help you strengthen your technical depth, business acumen, and leadership capability in a collaborative, purpose-driven environment.

In this internship you will:

  • Support advanced analytics work that helps teams identifypatterns, predict outcomes, and improve decision-making at scale.

  • Prepare, transform, and analyze data to support machine learning, statistical modeling, and AI-driven solutions.

  • Contribute tomodel development, testing, validation, or experimentation efforts in partnership with data scientists and business stakeholders.

  • Help communicate analytical findings, implications, and recommendations in a way that supports business action.

  • Gain exposure to applied AI and advanced analytics work, such as automation, model operationalization, and insight generation.

  • Build foundational leadership skills by taking ownership of work, collaborating across teams, and contributing ideas in a fast-paced, learning-focused environment.

  • Build relationships with program managers, alumni, senior leaders, and peers across the program

  • Receive coaching and mentorship from your department manager and program leaders to support your development.

What it takes:

  • Enrolled in a master’s degree or PhD program - or advanced graduate study - in Data Science, Analytics, Applied Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.

  • Strong interest in advanced analytics, machine learning, AI, and using data to solve complex business problems.

  • Experience through coursework, research, internships, or projects using tools such as SQL, Python, statistical methods, machine learning libraries, or cloud-based analytics tools.

  • Demonstrated leadership skills and/or leadership aspirations.

  • Strong analytical, communication, interpersonal, and problem-solving skills.

  • Ability to work independently and as part of a collaborative, team-oriented environment.

  • Cumulative GPA of 3.2 or higher preferred.

Additional Information:

  • This program is a full-time, paid 10-week summer internship

  • Vanguard is not offering sponsorship for this position

  • The start date for this program will be May/June 2027

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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