Key Responsibilities
Develops complex queries and performs extensive programming to access, transform, and prepare largescale data for statistical modeling and AI applications.
Leads diagnostic, predictive, and prescriptive analytics initiatives to support strategic and operational decision-making.
Identifies data inconsistencies, documents assumptions, and addresses data quality gaps to ensure reliable model outcomes.
Designs, trains, evaluates, and deploys machine learning and AI models (e.g., supervised/unsupervised learning, NLP, timeseries, optimization).
Apply generative AI techniques (e.g., LLMs, embeddings, prompt engineering, agents) to enable automation, insight generation, and intelligent user experiences.
Guides model validation, performance monitoring, explainability, and responsible AI practices.
Engages with business and technology stakeholders to understand problems, formulate hypotheses, and translate requirements into analytic and AI solutions.
Serves as an AI and analytics expert on cross functional initiatives, contributing to enterprise wide data and AI maturity.
Prepares and delivers clear, concise insight presentations and recommendations to technical and nontechnical audiences.
Qualifications
7+ years of experience in data science, analytics, or related quantitative roles.
Strong programming skills (e.g., Python, SQL) for data wrangling, modeling, and production ready solutions.
Handson experience with statistical modeling and machine learning techniques.
Proven ability to translate complex analytical results into business insights.
Experience with generative AI, LLMs, vector databases, or AI orchestration frameworks.
Familiarity with cloud based data and AI platforms.
Experience working in regulated or largescale enterprise environments.
What Success Looks Like
AI solutions that measurably improve efficiency, insight quality, and decision speed.
Scalable, well governed models that are trusted by business partners.
Clear storytelling that connects AI outcomes to business value.
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
- 7+ years of experience in data science, analytics, or related quantitative roles
- Strong programming skills in Python and SQL
- Hands-on experience with statistical modeling and machine learning techniques
- Experience with generative AI, LLMs, vector databases, or AI orchestration frameworks
- Familiarity with cloud-based data and AI platforms
- Experience working in regulated or large-scale enterprise environments
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.
