Data Scientist Senior Staff at Commonwealth Bank

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Generative AI, Machine Learning, AI Solutions, Statistical Modelling, MLOps, DevSecOps, Cloud-native Services, Banking, Financial Services, Collaboration, Leadership, Innovation, Communication, Mentoring, Problem Solving

Industry

Financial Services

Description

You are determined to stay ahead of the latest technologies in Data Science! We're one of the largest and most advanced Data Science practices in the country Together we can build state-of-the-art Data Science models that power seamless experiences for millions of customers Do work that matters As a Senior Staff Data Scientist within the Business Bank’s Customer, Channels and Data AI Centre of Excellence (AiCE), you will assist in the development, monitoring, implementation and management of models supporting our journey of transforming the practice of Business Banking across Australia. From applying Generative AI to better support knowledge and decision management functions, to activating agent oriented AI design patterns to better automate and drive results, you will be familiar with the latest and most exciting patterns in AI and Data Science development that may support this mission objective. See yourself in the team Our team has a unique role to enable the Business Bank’s vision of becoming Australia’s #1 Commercial Bank, by achieving a key focus in delivering AI solutions through to its Channels, Customer and Data. The team is focused on executing a strong path towards a customer-obsessed application of AI, to deliver critical productivity yields for our bankers and exceptional value management for all our customers. We are interested in hearing from people who are Passionate about building market-leading commercial Gen AI applications and machine learning systems, with a focus on agentic and multi-agentic AI system design, implementation and deployment. Excited about tackling new, challenging business problems in Data Science using cutting-edge Gen AI tools and frameworks such as Semantic Kernel, LangGraph, OpenAI Agents etc Excellent skills on designing and implementing proper evals for the GenAI projects Adept at combining commercial and technical Data Science models to deliver unique, strategic value to the business. Collaborative and curious, working closely with product teams to solve complex data problems and influence senior stakeholders with confidence. Natural leaders who thrive in a collaborative environment and are committed to fostering a positive, inclusive culture that promotes growth and development. Innovative thinkers who constantly push boundaries and think outside the box to solve complex data science challenges. We are also interested in hearing from people who: Can provide technical and thought leadership on emerging Gen AI technologies and their strategic impact. Are passionate about coaching and mentoring junior team members in Data Science and AI. Can build and deploy ML and AI solutions, leveraging statistical control and performance estimation theory to drive business outcomes. Can develop and implement interpretable and explainable Gen AI solutions, working with MLOps teams, Solution Architects, and Product Owners to deliver actionable insights and enhance customer engagement. Have experience working with large, complex datasets in corporate environments and automating data-driven processes. Possess strong communication skills to positively influence diverse stakeholders and cross-functional teams. Strong growth mindset and curiosity in understanding the current state of the art GenAI tools and technologies and share it with the teams on regular basis. Demonstrated expertise with AI-powered productivity tools such as Github Copilot and proactively share best-practice insights to the entire team stays ahead of emerging trends and capabilities. Tech Skills: We use a broad range of tools, languages, and frameworks. While we don’t expect you to know them all, experience or exposure to any ML systems and statistical modelling will set you up for success in this role! Proven delivery of retrieval-augmented-generation (RAG) pipelines, including vector-database design (FAISS, Pinecone, Amazon OpenSearch) and advanced prompt-engineering. Expert in architecting and deploying multi-agent GenAI ecosystems—designing role-based agent hierarchies with shared context stores, dynamic tool selection, feedback loops, and robust guard-rails for complex workflows. Strong MLOps & DevSecOps expertise: CI/CD for ML (GitHub Actions/Jenkins), container orchestration (Docker & Kubernetes/EKS), model versioning and monitoring (MLflow, SageMaker Model Monitor). Demonstrated commitment to Responsible & Compliant AI—bias detection, privacy-preserving ML, model governance. Hands-on with cloud-native GenAI services (AWS SageMaker & Bedrock, Azure OpenAI) and large-scale data platforms (Databricks, Snowflake, PySpark). Domain depth in banking & financial-services use-cases (fraud detection, credit-risk modelling, personalised customer engagement) and the ability to translate GenAI capabilities into measurable business value. Track record of leading cross-functional squads and mentoring senior data-science talent, shaping technical roadmaps and innovation strategy. Published research, patents, or open-source contributions that showcase thought leadership in Generative AI/NLP. If this sounds like you then apply today! At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation. Read more about our commitment to inclusion and diversity. If you're already part of the Commonwealth Bank Group (including Bankwest), 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 support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you. We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support please contact HR Direct on 1800 989 696. 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: 22/02/2026 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.

Responsibilities

As a Senior Staff Data Scientist, you will assist in the development, monitoring, implementation, and management of models to transform Business Banking across Australia. You will work on applying Generative AI and agent-oriented AI design patterns to automate and drive results.