Job Description
Senior Staff Data Scientist - Gen AI, ML
You are determined to stay ahead of the latest technologies in Gen AI and 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 we continue our pursuit of NPS +30, we need to transform the way we engage with our customers and colleagues.
About the Role
As the Senior Staff Data Scientist within Chief Data and Analytics Office, you will be responsible for the development and delivery of next generation Gen AI Chatbots and AI models supporting the bank to level-up AI adoption.
This role involves thought leadership, AI solution design, and designing and developing cutting edge AI models to uplift customer experience.
As the Senior Staff Data Scientist, you will play a pivotal role in ensuring CBA continues to be a trusted leader in the Responsible use of AI.
Key Responsibilities
* Thought leadership on emerging Gen AI technologies and their impact on business objectives
* Designing and developing cutting-edge AI models to drive customer experience
* Leveraging statistical models to drive business decisions and outcomes
* Collaborating with cross-functional teams to deliver implementable AI solutions and insights
Requirements
* Solid foundations in statistical modelling, Gen AI, Data Science and ML models
* Proficient in developing and deploying various AI/data science solutions including generative AI, NLP, reinforcement learning
* Core background in Software Engineering and Data Science streams
* Leadership skills to handle end-to-end Gen AI and ML project delivery and communicate timelines to stakeholders
Tech Skills
We use a broad range of tools, languages, and frameworks.
We don't expect you to know them all but experience or exposure to any ML systems and statistical modelling will set you up for success in this role.
Highly experienced in coding skills that allow you to build and implement the ML models ideas easily and quickly (R or Python, PySpark, Python, SQL, AWS/Azure)
Strong leadership skills to handle the end-to-end Gen AI and ML project delivery and communicate timelines and key milestone to stakeholders and product owners.
Degree level qualification in Computer Science, Engineering, Mathematics, Statistics or similar subjects.