Senior Data Scientist, ML, NLP, GenAI, Agentic AI

Job Description

The SMSF and Wealth Crew is focused on customer service excellence: delivering customer-centric, data-driven solutions that enhance customer outcomes and improve the way customers interact with our Wealth and Private Banking services.

You will:

• Design, build and productionise GenAI and Agentic AI solutions.
• Apply Large Language Models (LLMs), retrieval-augmented generation (RAG) and agentic workflows to solve complex business challenges.
• Build evaluation harnesses, guardrails and adversarial safety testing for non-deterministic GenAI and agentic systems.
• Build and productionise models using modern MLOps practices and AI tooling.
• Translate complex business problems into practical AI and machine learning solutions.
• Drive best practice across model governance, monitoring, explainability and responsible AI.
• Set technical direction and lift the squad’s AI capability through mentoring and design and code review.
• Partner with senior stakeholders and clearly communicate technical recommendations and trade-offs.
• Influence strategic discussions around data quality, governance, data risk and AI adoption.

We’re interested in hearing from people who have:

• Strong experience designing, developing and deploying machine learning solutions in production environments.
• Deep expertise in Natural Language Processing (NLP), Large Language Models (LLMs) and GenAI applications.
• Experience developing Agentic AI solutions, AI assistants, autonomous workflows or coding agents.
• Experience evaluating and hardening LLM or agentic systems: eval frameworks, LLM-as-judge, guardrails, hallucination and safety testing.
• Hands-on programming experience with Python and SQL.
• Experience with MLOps, CI/CD, model deployment, monitoring and observability frameworks.
• Strong understanding of data governance, data quality, data risk and responsible AI principles.
• The ability to influence stakeholders and communicate complex technical concepts to non-technical audiences.
• A curious mindset and a genuine passion for customer service excellence, solving real customer problems through data and AI.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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