Consultant Data Scientist Marketing

Role overview

Key responsibilities

• Design and deploy LLM, agentic and machine learning systems for customer decisioning and personalisation.
• Develop rigorous evaluation methods to improve AI quality, reliability and safety.
• Work with Data Engineering and Platform teams to move solutions from discovery through production.
• Build reusable tooling and capabilities that scale AI development across the organisation.
• Use complex datasets to understand customer behaviour, assess data quality, engineer features and prepare reliable AI inputs.
• Participate in design discussions and code reviews while improving team engineering practices.

What you will bring

• Strong Python software engineering skills and experience building modular, tested and maintainable production systems.
• Strong machine learning fundamentals covering feature engineering, model selection, validation and evaluation.
• Hands-on experience designing and building LLM applications or agentic workflows.
• Practical experience with AI coding agents, or the ability to adopt and critically review new development tools.
• Strong empirical judgement across baselines, assumptions, failures, quality, reliability, safety, latency and cost.
• A collaborative approach that welcomes feedback, respectfully challenges ideas and responds to evidence.

Locations

• The posting lists Australia-wide availability, including Sydney CBD and Melbourne CBD.