Core Responsibilities
Build and enhance AI-powered Digital Twins that simulate customer behavior, preferences, and decision-making.
Lead analytic and AI initiatives that improve simulation fidelity, business relevance, and predictive accuracy through experimentation, validation, and real-world outcome measurement.
Apply behavioral science, customer research, UX insights, and marketing analytics to develop and refine human-centered AI models.
Develop and optimize LLM, RAG, and agentic AI solutions, including data preparation, evaluation frameworks, prompt engineering, and model performance measurement.
Partner with Product, Marketing, Analytics, UX Research, and Technology teams to translate business problems into scalable AI and data science solutions. Communicate findings and recommendations to stakeholders and mentor junior data scientists and analysts.
Qualifications
RequiredMinimum five years of experience in Data Science, Analytics, Machine Learning, Marketing Analytics, or a related quantitative field.
Demonstrated strength in at least one of the following areas: Analytics: Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains.
Applied AI / Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks.
Strong programming skills in Python and SQL, along with a solid foundation in statistics, machine learning, and experimental design.
Strong communication skills with the ability to translate complex analytical findings into actionable business recommendations.
PreferredExperience developing AI systems that model, simulate, or predict human behavior, preferences, or decision-making.
Experience building Digital Twins, synthetic personas, synthetic customers, or similar human simulation capabilities.
Experience measuring alignment between AI predictions and real-world outcomes and improving model performance through experimentation and validation.
Advanced degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Behavioral Science, Psychology, or a related field.
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.
Skills Required
- Minimum five years of experience in data science, analytics, machine learning, marketing analytics, or a related quantitative field
- Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains
- Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks
- Strong programming skills in Python and SQL
- Strong foundation in statistics, machine learning, and experimental design
- Strong communication skills and ability to translate analytical findings into business recommendations
- Experience developing AI systems that model, simulate, or predict human behavior, preferences, or decision-making
- Experience building digital twins, synthetic personas, synthetic customers, or similar human simulation capabilities
- Experience measuring alignment between AI predictions and real-world outcomes and improving model performance through experimentation and validation
- Advanced degree in data science, statistics, applied mathematics, economics, computer science, behavioral science, psychology, or a related field
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
