Lead Data Scientist

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.