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College to Corporate IT Internship - Data Science (PA)

at Vanguard

Back to all Data Science / AI / ML jobs
Vanguard logo
Industry not specified

College to Corporate IT Internship - Data Science (PA)

at Vanguard

InternshipNo visa sponsorshipData Science/AI/ML

Posted 8 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

**College to Corporate IT Internship - Data Science (PA): Drive Data-Driven Insights at Global Leader** Leverage your analytical prowess, curiosity, and agility in this high-impact IT internship. Tackle strategic projects, conduct deep dive data analytics, and influence key leadership decisions. Collaborate in diverse teams, build a professional network, and receive personalized mentorship. Proficient in SQL, Python, R, and data visualization tools such as Tableau/Power BI; undergraduate degree with a focus on data science, statistics, or similar field preferred. Ideal for ambitious early-career data specialists seeking real-world experience in a dynamic global organization.

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.

College to Corporate IT Internship - Data Science (PA)

at Vanguard

Back to all Data Science / AI / ML jobs
Vanguard logo
Industry not specified

College to Corporate IT Internship - Data Science (PA)

at Vanguard

InternshipNo visa sponsorshipData Science/AI/ML

Posted 8 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

**College to Corporate IT Internship - Data Science (PA): Drive Data-Driven Insights at Global Leader** Leverage your analytical prowess, curiosity, and agility in this high-impact IT internship. Tackle strategic projects, conduct deep dive data analytics, and influence key leadership decisions. Collaborate in diverse teams, build a professional network, and receive personalized mentorship. Proficient in SQL, Python, R, and data visualization tools such as Tableau/Power BI; undergraduate degree with a focus on data science, statistics, or similar field preferred. Ideal for ambitious early-career data specialists seeking real-world experience in a dynamic global organization.

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.

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