Data Scientist, Specialist
About The Position
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. 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.
Requirements
- Minimum of five years of related work experience in data science or analytical roles.
- Strong experience utilizing statistical and machine learning methods required.
- Experience with large language models, knowledge graph and generative AI required.
- Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in cloud platform (such as AWS) and associated AI services and tools.
- Strong stakeholder management and excellent communication skills.
Responsibilities
- Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
- Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
- Creates alternative model approaches to assess complex model design and advance future capabilities.
- Mentors and develops junior data scientists and analysts.
- Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk.
- Partners with senior leadership to understand and probe business processes in order to develop hypotheses.
- Brings structure to requests and translates requirements into an analytic approach.
- Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use.
- Serves as a trusted technical voice on cross‑functional initiatives involving advanced analytics or machine learning.
- Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
- Prepares and delivers clear, insightful presentations with recommended actions.
- Communicates complex analytical findings and implications to business leaders.
- Participates in special projects and performs other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
