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About the Role
Build and enhance AI-powered Digital Twins that simulate customer behavior, preferences, and decision-making. Lead analytic and AI initiatives to improve simulation fidelity, business relevance, and predictive accuracy.
Responsibilities
- Build and enhance AI-powered Digital Twins that simulate customer behavior, preferences, and decision-making.
- Lead analytic and AI initiatives that improve simulation fidelity, business relevance, and predictive accuracy through experimentation, validation, and real-world outcome measurement.
- Apply behavioral science, customer research, UX insights, and marketing analytics to develop and refine human-centered AI models.
- Develop and optimize LLM, RAG, and agentic AI solutions, including data preparation, evaluation frameworks, prompt engineering, and model performance measurement.
- Partner with Product, Marketing, Analytics, UX Research, and Technology teams to translate business problems into scalable AI and data science solutions.
- Communicate findings and recommendations to stakeholders and mentor junior data scientists and analysts.
Requirements
- Minimum five years of experience in Data Science, Analytics, Machine Learning, Marketing Analytics, or a related quantitative field.
- Demonstrated strength in Analytics: Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains.
- Demonstrated strength in Applied AI / Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks.
- Strong programming skills in Python and SQL.
- Solid foundation in statistics, machine learning, and experimental design.
- Strong communication skills with the ability to translate complex analytical findings into actionable business recommendations.
- Experience developing AI systems that model, simulate, or predict human behavior, preferences, or decision-making.
- Experience building Digital Twins, synthetic personas, synthetic customers, or similar human simulation capabilities.
- Experience measuring alignment between AI predictions and real-world outcomes and improving model performance through experimentation and validation.
Skills
- Python
- SQL
- Statistics
- Machine Learning
- Experimental Design
- LLMs
- Agentic Systems
- Prompt Engineering
- Model Fine-tuning
- RAG Architectures
- AI Evaluation Frameworks
- Behavioral Science
- Customer Research
- UX Insights
- Marketing Analytics
Work Type
- Hybrid
Experience Level
- Minimum five years of experience
Education Level
- Advanced degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Behavioral Science, Psychology, or a related field.
About the Company
- 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.
Equal Opportunity
- Vanguard is not offering visa sponsorship for this position.