College to Corporate IT Internship - Data Science (PA)

Job 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. Vanguard, one of the world's leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.