• You are determined to stay ahead of the latest technologies in Data Science and AI!
  We’re one of the largest and most advanced Data Science practices in the country
  Together we can build state-of-the-art AI models that power seamless experiences for millions of customers

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 generative AI, agents, AI, and machine learning will set you up for success in this role.

• Machine learning expertise: Strong experience in designing, building, and deploying ML models, including feature engineering, model selection, hyperparameter tuning, evaluation, and monitoring.
• Experience with traditional statistical modelling and predictive analytics.
• Generative AI Hands-on Delivery Experience: Successfully deployed applications of generative AI in production settings.
• Expertise in AI: Including prompt engineering, retrieval-augmented generation (RAG), safety guardrails, and Agentic AI frameworks.
• Cloud Platforms: Experience using AWS Bedrock, SageMaker, or Microsoft Azure OpenAI platforms.
• GenAI and AI Models: Demonstrated experience in developing, deploying, and monitoring generative AI and AI models.
• LLM Models: Proficiency in using large language models (LLMs) for various business applications.
• Statistics and Big Data: Proficiency in statistical modelling using R, Python and SQL for big data analysis. Experience in working with big data platforms such as SQL, HDFS, Hive, Spark, Amazon EMR and S3.

IF THIS ROLE SOUNDS LIKE YOU – APPLY NOW!

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’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.
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.
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: 26/08/202

We use a broad range of tools, languages, and frameworks. While we don’t expect you to know them all, experience or exposure to generative AI, agents, AI, and machine learning will set you up for success in this role.

• Machine learning expertise: Strong experience in designing, building, and deploying ML models, including feature engineering, model selection, hyperparameter tuning, evaluation, and monitoring.
• Experience with traditional statistical modelling and predictive analytics.
• Generative AI Hands-on Delivery Experience: Successfully deployed applications of generative AI in production settings.
• Expertise in AI: Including prompt engineering, retrieval-augmented generation (RAG), safety guardrails, and Agentic AI frameworks.
• Cloud Platforms: Experience using AWS Bedrock, SageMaker, or Microsoft Azure OpenAI platforms.
• GenAI and AI Models: Demonstrated experience in developing, deploying, and monitoring generative AI and AI models.
• LLM Models: Proficiency in using large language models (LLMs) for various business applications.
• Statistics and Big Data: Proficiency in statistical modelling using R, Python and SQL for big data analysis. Experience in working with big data platforms such as SQL, HDFS, Hive, Spark, Amazon EMR and S3