Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Core
Design, build, and productionize GenAI, Agentic AI, and NLP solutions to create intelligent assistants for SMSF customers and advisers in Wealth & Private Banking.
Role type
Senior hands-on IC Machine Learning Engineer (GenAI/Agentic AI/NLP)
Builds
Intelligent customer service assistants and agentic workflows for Mass Affluent segment
Domain
Financial Services / Wealth Management / Superannuation
Deliverable
production ML models
Required skills
Python, SQL, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic workflows, MLOps, CI/CD, Model monitoring and observability, Data governance, Responsible AI principles
Preferred skills
Experience in financial services, wealth management, or superannuation
Technologies
Python, SQL, LLMs, RAG, MLOps tools
Responsibilities
Design and deploy GenAI and Agentic AI solutions; Build evaluation harnesses, guardrails, and safety testing for non-deterministic systems; Translate business problems into practical AI solutions; Drive model governance, monitoring, and explainability; Mentor team members and conduct code reviews; Partner with stakeholders to identify AI opportunities.
Seniority
Senior, hands-on IC