Job Description Summary

Technology and data are critical to powering Vanguard’s client experience, investment products, and advice. As advanced analytics, machine learning, and AI continue to shape decision-making, there is a growing need for leaders who can translate complex data into strategic outcomes. Vanguard’s Technology Leadership Program (TLP) is designed to develop the next generation of IT leaders through hands-on experience, collaboration, and rotational learning. Through three unique rotations, you will build deep expertise in advanced analytics while developing the leadership skills needed to drive innovation and impact across Vanguard.

Job Description

Drive Insights Through Advanced Analytics and Innovation

At Vanguard, we put investors first—and that means using data and advanced analytics to make smarter, faster decisions. As part of the Technology Leadership Program in the Data Scientist track, you’ll apply machine learning, statistical modeling, and AI to solve complex business problems and improve outcomes for our clients. Your work will focus on building and applying models that uncover patterns, predict outcomes, and optimize processes across the enterprise. Through real-world projects and collaboration with business and technology partners, you’ll gain exposure to how advanced analytics enables Vanguard to deliver value at scale.

Are you a self-starter who enjoys tackling complex problems and building analytical solutions from the ground up? Join a team where innovation is driven by curiosity and purpose. You’ll work alongside data scientists, engineers, and business leaders to design and implement solutions, while building your ability to influence decisions, communicate insights, and lead through technical expertise. Through hands-on projects, capstones, and rotations, you’ll strengthen both your analytical depth and leadership capabilities.

The Technology Leadership Program is a rotational development experience designed for early-career technologists ready to make an impact. Data Scientist participants complete three rotations across Data & Analytics-focused teams, gaining exposure to different domains, tools, and business challenges while increasing ownership, responsibility, and leadership capability over time.

In this program, you will:

• Develop and apply machine learning models and advanced statistical techniques to solve business problems 

• Work with large and complex data sets to identify patterns, trends, and opportunities 

• Design experiments, build predictive and prescriptive models, and support model validation efforts 

• Translate business problems into analytical approaches and deliver solutions from concept to implementation 

• Partner with data, engineering, and business teams to drive data-informed decision-making 

• Communicate complex analytical findings and recommendations to both technical and non-technical audiences 

• Take ownership of projects and contribute to delivering high-impact outcomes 

• Collaborate across teams, share insights, and influence strategic decisions 

• Build a network with program managers, alumni, senior leaders, and peers 

• Meet regularly with your department manager and program manager to receive personalized coaching and mentorship  

What it takes:

• Master’s, MBA, or relevant advanced degree in Data & Analytics, Data Science, Applied Mathematics, Statistics, Economics, Computer Science, or a related quantitative or analytical field 

• Strong interest in machine learning, AI, and advanced analytics 

• Experience with programming languages such as Python or SQL, and familiarity with analytical or modeling tools 

• Demonstrated leadership potential, initiative, and ability to take ownership of work 

• 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 

Special Factors:

• Vanguard is not offering visa sponsorship for this position.  

• This position will begin in 2027 and students graduating in December 2026, or Spring 2027 are encouraged to apply.  

Our Total Rewards package reflects our commitment to you and your family’s well-being – both for today and for the future. We invest in your financial, physical, and personal success with best-in-class benefits through:

• Pay for performance, including annual performance bonuses, merit increases, and an annual Partnership bonus.  

• Industry-leading retirement savings plans:  

• 401(k) contribution 55% above the national average.  

• Quarterly 401(k) contribution of 10% of your eligible pay.  

• At least 18 paid days off, plus 10 federal holidays.  

• 77% of your medical costs are covered, compared to 68% by other financial services companies.  

• Unparalleled Health Savings Account (HSA) seed and match – 5x the amount as other contributing employers.  

• A $1500 FlexFund annual stipend for personally meaningful conveniences – 3x the average amount offered by other employers.  

• Top-tier programs for your emotional and mental health:  

• Access to 2x more coaching and therapy sessions compared to other employers.  

• A caregiving concierge program, something only one in five employers offer.  

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.