Data Scientist, Senior Specialist

About the role

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.

Responsibilities

• Lead the design, development, and delivery of large-scale analytics and data science projects, ensuring the quality, accuracy, and reliability of models, methodologies, and outputs.
• Apply advanced diagnostic, predictive, and prescriptive analytics to identify opportunities, solve business challenges, and drive measurable outcomes.
• Develop innovative modeling approaches and evaluate emerging techniques to enhance analytical capabilities and improve business performance.
• Partner with senior leaders and stakeholders to frame complex business questions, translate objectives into analytical strategies, and generate actionable recommendations.
• Assess data quality, identify gaps or inconsistencies, and establish sound assumptions to ensure insights are built on a strong foundation.
• Guide research design, experimentation, model validation, and statistical best practices across high-impact initiatives.
• Serve as a trusted analytics advisor on cross-functional teams and contribute to the advancement of the broader data science community.
• Communicate complex analytical findings in a clear, compelling manner through executive presentations, visualizations, and strategic recommendations.
• Mentor and develop junior data scientists and analysts, fostering a culture of continuous learning and innovation.
• Support additional strategic initiatives and special projects as needed.

Requirements

• 10+ years of experience in analytics, data science, statistics, machine learning, or a related quantitative field.
• Strong expertise in data preparation, transformation, and analysis of large, complex datasets.
• Hands-on experience applying statistical modeling, machine learning, and advanced analytical techniques to real-world business challenges.
• Proven ability to influence decision-making through insightful analysis and effective communication with senior stakeholders.
• Experience leading complex analytical projects and mentoring data science talent.

Qualifications

• Bachelor's degree in Analytics, Applied Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative discipline, or an equivalent combination of training and experience.
• Advanced degree (Master's or PhD) preferred.