As a Data Scientist, you will join a highly collaborative team of data scientist, AI engineer, and analytics professionals focused on transforming how HR and IT Corporate Systems use data, analytics, and artificial intelligence to drive business outcomes. You will develop innovative AI and machine learning solutions that enable smarter decision making, improve workforce experiences, and unlock insights at scale.
In this role, you will work at the intersection of advanced analytics, business strategy, and emerging AI technologies. You will partner closely with HR, Corporate Systems, and technology stakeholders to identify opportunities, solve complex business challenges, and deliver impactful solutions that create measurable value. From predictive modeling and generative AI applications to workforce analytics and intelligent decision support tools, you will help shape the future of AI-driven capabilities across the enterprise.
You will have the opportunity to:
- Develop and deploy machine learning, predictive analytics, and AI solutions to address business challenges.
- Build scalable analytics products and AI-enabled tools that improve decision making and operational efficiency.
- Partner with business stakeholders to identify opportunities, prioritize initiatives, and translate business needs into analytical solutions.
- Leverage modern cloud, data science, and AI technologies to deliver innovative products and services.
- Communicate analytical insights and recommendations to diverse audiences, including senior leaders and non-technical stakeholders.
- Collaborate with data scientists, engineers, analysts, and product partners to bring solutions from concept to production.
- Contribute to the adoption of emerging AI capabilities, including generative AI, agentic workflows, and advanced analytics applications.
- Help establish best practices for responsible AI, model governance, and scalable analytics delivery.
You will be part of a dynamic Analytics and AI team that drives innovation across HR and Corporate Services. Our team combines advanced analytics, data science, machine learning, and AI product development to solve strategic business challenges and improve employee and business outcomes.
We are focused on delivering practical, impactful solutions that move beyond analysis to create enterprise capabilities. Whether developing AI-powered assistants, workforce analytics products, predictive models, or decision intelligence solutions, our team plays a critical role in accelerating Vanguard's adoption of data-driven and AI-enabled decision making.
Strong communication and collaboration skills are essential as you will work across business, technology, analytics, and product teams. Success in this role requires intellectual curiosity, strong problem-solving abilities, and the ability to balance multiple priorities in a fast-paced environment.
Required Qualifications
- Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field, or an equivalent combination of training and experience.
- 2+ years of experience applying data science, machine learning, or advanced analytics in a business environment.
- Experience developing and deploying predictive models, machine learning solutions, or AI-driven applications.
- Strong proficiency in Python and modern analytical tools and frameworks.
- Experience working with large and complex datasets to generate actionable insights.
- Ability to translate business problems into analytical approaches and communicate results effectively to technical and non-technical audiences.
- Demonstrated problem-solving skills and a passion for leveraging data and AI to drive business value.
Preferred Qualifications
- Graduate degree in Data Science, Statistics, Machine Learning, Computer Science, Analytics, or a related field.
- Experience in applying Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, or other emerging AI technologies.
- Experience with cloud-based analytics and AI platforms.
- Experience developing analytics products, decision support tools, or enterprise AI solutions.
- Knowledge of workforce, HR, talent, organizational, or people analytics is a plus.
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
- Undergraduate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or related quantitative field (or equivalent experience).
- 2+ years of experience applying data science, machine learning, or advanced analytics in a business environment.
- Experience developing and deploying predictive models, machine learning solutions, or AI-driven applications.
- Strong proficiency in Python and modern analytical tools and frameworks.
- Experience working with large and complex datasets to generate actionable insights.
- Ability to translate business problems into analytical approaches and communicate results effectively to technical and non-technical audiences.
- Demonstrated problem-solving skills and passion for leveraging data and AI to drive business value.
- Graduate degree in a related field (Data Science, Statistics, Machine Learning, Computer Science, Analytics) or equivalent.
- Experience applying Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), or AI agents.
- Experience with cloud-based analytics and AI platforms.
- Experience developing analytics products, decision support tools, or enterprise AI solutions.
- Knowledge of workforce, HR, talent, organizational, or people analytics.
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.
