INTERNSHIP DETAILS

College to Corporate IT Internship - Data Science (PA)

CompanyVanguard
LocationMalvern
Work ModeOn Site
PostedAugust 20, 2026
Internship Information
Core Responsibilities
Interns will perform deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision-making. They will also participate in critical projects to uncover insights that influence strategic decisions presented to leadership.
Internship Type
full time
Company Size
28472
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We are a community of 50 million who think—and feel—differently about investing. Together, we’re changing the way the world invests. For over 50 years, Vanguard has helped people pursue their financial goals with a spotlight on long-term value and low costs. We’ve made it a focus to put investors first, so whether you’re saving for your first home or investing for a comfortable retirement, we’re here to help you succeed. Community guidelines: vgi.vg/sgl1
About the Role

Step forward with a global market leader

 

Are you a highly motivated individual with a curious mind and desire to actively improve yourself? Then use your mental agility and resourcefulness to advance our mission - standing up for over thirty million clients worldwide. Here, you will regularly tackle a variety of challenges in a dynamic industry, using your abilities to make real impact – driving initiatives forward in a team environment with a strong interest in developing others.

 

In this program, you will

 

  • Engage in high-impact strategic assignments, across various areas of the business. You will perform deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.

  • Participate in critical, relevant projects to uncover insights that will be presented to key leadership – influencing strategic decisions that directly affect organizations across Vanguard

  • Share your insights and drive outcomes individually and in collaborative, encouraging environments

  • Build a network with program managers, alumni, senior leaders and peers

  • Meet regularly with your department manager and internship program manager to receive personalized coaching and mentorship

 

What it takes

 

  • An undergraduate degree and graduate studies aligned to Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience 

  • Demonstrated experience in data and analytics, computer science, statistical analysis, machine learning, hypothesis testing and data visualization. You have experience applying statistical and machine learning methods.

  • Comfort with ambiguity and a willingness to explore a variety of challenges and pivot as needed.

  • Proven agility in learning and excellent relationship management skills

  • Clear and effective communication skills

  • Ability to take initiative, collaborate, and work independently

  • Comfort working with multiple tasks and/or projects concurrently

  • Proven leadership abilities and a passion for data and analytics

  • Strong technical competence, including data analytical, statistical, storytelling, and coding skills

 

Special Factors

 

  • The start date for this program will be May 2027

  • Vanguard is not offering visa sponsorship for this position

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.

Key Skills
Data SciencePredictive AnalyticsPrescriptive AnalyticsStatistical AnalysisMachine LearningHypothesis TestingData VisualizationComputer ScienceCodingStorytellingCommunicationRelationship ManagementLeadershipAnalytical Thinking
Categories
Data & AnalyticsTechnologyFinance & AccountingSoftware