Sydney, NSW - CBP North, 1 Harbour Street, Australia · hace 12 días
Validarás de forma independiente modelos de machine learning, IA generativa e IA agéntica analizando datos, metodología y resultados, diseñando evaluaciones y creando arneses de prueba y automatizaciones reutilizables. También comunicarás hallazgos y desafíos técnicos a audiencias técnicas y no técnicas.
Data Scientist | AI & Model Validation Independently test and challenge some of the Group’s most important machine learning, Generative AI and agentic AI use cases. Build hands-on expertise across emerging AI architectures, evaluation methods and responsible AI. Create reusable evaluations, test harnesses and automation to help strengthen how AI is validated at scale. Do Work That Matters AI & General Model Validation (AIGMV) provides independent technical challenge and review of important machine learning and AI models across the Group. As a Data Scientist in the team, you’ll help assess whether AI solutions perform as intended by independently evaluating their data, methodology, assumptions and outcomes. You’ll combine hands-on technical investigation with clear, evidence-based challenge, helping support safe and sustainable AI adoption. See yourself in our team You’ll work closely with model developers, product owners and business stakeholders while maintaining the independence expected of a validation function. In this role, you will: Independently deliver defined components of AI and ML validation, including technical analysis, testing and evaluation. Review data, methodologies, assumptions and model outcomes, investigating unexpected behaviour and potential weaknesses. Design and execute evaluations for Generative AI and agentic systems, including architectures involving RAG, tool use, guardrails, routing, memory and LLM-as-a-Judge approaches. Build reproducible test harnesses, reusable evaluations and automation that improve the efficiency and consistency of validation. Navigate unfamiliar codebases, reproduce evaluation pipelines and inspect trace data to understand model and agent behaviour. Provide constructive, evidence-based technical challenge and bring your findings into broader validation conclusions. Communicate complex technical findings clearly to both technical and non-technical stakeholders. Share knowledge and contribute to the continuing development of AI validation practices, tooling and standards. We’re interested in hearing from people who: This role will suit a curious, hands-on Data Scientist who enjoys getting beneath the surface of how AI systems behave. You’ll bring sound analytical judgement, attention to detail and the confidence to investigate unexpected results, while staying curious as Generative AI and agentic techniques continue to evolve. Experience across several of the following will help you succeed: Advanced Python skills and experience with GitHub, version control and CI/CD; SQL, R or TypeScript exposure is also valuable. Experience with frameworks and tools such as LangChain, LangGraph, OpenAI Agents SDK, Pydantic and evaluation or observability platforms such as Langfuse or HoneyHive. Practical knowledge of Generative AI and agentic architectures, including orchestrators, sub-agents, RAG pipelines, tool use, guardrails, multi-agent routing and memory. Hands-on experience building or evaluating AI and Generative AI solutions, including synthetic data; transformer fine-tuning experience would be beneficial. Experience using AI coding agents such as Claude Code or Codex, including building reusable skills, agents, hooks or plugins to automate technical workflows. Working knowledge of traditional machine-learning approaches such as regression, random forests and XGBoost, together with appropriate evaluation methods. Confidence reading unfamiliar code, reproducing evaluation pipelines, writing test harnesses and analysing trace data. Strong communication skills and the ability to explain complex analysis and technical risks clearly to different audiences. If AI safety matters to you, you enjoy learning independently and you bring strength across some rather than all of these areas, we’d like to hear from you. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 10/11/2026 Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day. Here, you’ll thrive. You’ll be supported when faced with challenges, and empowered to tackle new opportunities. We really love working here, and we think you will too.
Publicada el 27 oct 2026
