College to Corporate IT Internship - Data Science (PA)

Posted 25 Days Ago
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Malvern, PA, USA
In-Office
Internship
Fintech
The Role
Analyze business data using diagnostic, predictive, and prescriptive analytics; apply statistical and machine learning methods; develop visualizations and communicate insights to leadership. The internship involves strategic projects, collaborative problem-solving, networking, mentorship, and presenting recommendations that influence business decisions.
Summary Generated by Built In

Job Description 

Launch your career in advanced analytics with Vanguard’s College to Corporate (C2C) Internship Program. As a Data Scientist intern, you’ll help 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 identify patterns, predict outcomes, and improve decision-making at scale. 

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

  • Contribute to model 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.

Skills Required

  • Undergraduate degree and graduate studies in Analytics, Applied Mathematics, Economics, Statistics, or a related analytical field, or equivalent training and experience
  • Experience in data and analytics, computer science, statistical analysis, machine learning, hypothesis testing, and data visualization
  • Experience applying statistical and machine learning methods
  • Comfort with ambiguity and willingness to explore varied challenges and pivot as needed
  • Agility in learning and excellent relationship management skills
  • Clear and effective communication skills
  • Ability to take initiative, collaborate, and work independently
  • Ability to manage multiple tasks and projects concurrently
  • Leadership abilities and passion for data and analytics
  • Strong data analytical, statistical, storytelling, and coding skills

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

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The Company
HQ: Malvern, PA
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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