Senior Staff Data Scientist at Commonwealth Bank
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

29 Oct, 25

Salary

0.0

Posted On

29 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Containerization, Docker, Models, Integration, Version Control, Data Engineering, R, Data Science, Stakeholder Engagement, Construction, Data Flow, Spark, Aws, Architecture, Sql, Github, Languages, Probability, Machine Learning, Model Selection, Pipeline Construction

Industry

Information Technology/IT

Description

WE’RE INTERESTED IN HEARING FROM PEOPLE WITH THE FOLLOWING SKILLS.

  • Proven experience in Gen AI, chatbot development, and LLMs.
  • Strong foundation in statistics and probability; able to interpret models.
  • Proficiency in Python and experience with AI/ML model development.
  • Excellent communication skills for documentation and stakeholder engagement.
  • Tertiary qualification in Data Science, Statistics, Computer Science, or a related field.

TECHNICAL SKILLS AND TOOLS:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team.

  • Machine Learning : Expertise in the design and construction of machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models into production environments.
  • Generative AI: Familiarity with various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, and tools such as LangChain and LangGraph.
  • Cutting-Edge AI : Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future.
  • Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub.
  • Tooling : Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL.
  • Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration.
  • Deployment : Familiar with Docker for containerization and deployment of applications.
  • Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.

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: 05/08/202

Responsibilities
  • GenAI and Agentic system design and development: Drive the expansion and adoption of Generative AI solutions across RBS, optimising our product offerings through design and implementation of advanced Gen AI capabilities and agentic AI systems.
  • Develop and implement Machine Learning Models: Lead the overhaul of various machine learning models, enabling to drive strategic business outcome for various stakeholders.
  • Expand Data/AI Science Usage : Identify AI opportunities and embed these methodologies into a broader range of activities across the banking landscape
Loading...