Opportunities · Internship
College to Corporate IT Internship - Data Science
Vanguard · Malvern, PA
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Posted
Aug 31, 2026
What matters in this listing
What you'll own
- Support advanced analytics work that helps teams identify patterns, predict outcomes, and improve decision-making at scale.
- 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
Requirements and eligibility
- 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.
- Ability to work independently and as part of a collaborative, team-oriented environment.
Preferred, not required
- Cumulative GPA of 3.2 or higher preferred.
Read the full listing context
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.
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