College to Corporate IT Internship - Data Science (PA)

Vanguard Group

  • Malvern, PA
  • 15 days ago

    Highlights

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

    Numbers & Facts

    LocationMalvern, PA

    Description

    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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