About the opportunity

Join our AI Centre of Excellence in Enterprise Analytics as we continue to grow our AI capability and move into an exciting chapter at the Bank. You will join a growing and collaborative team who support artificial intelligence (AI) initiatives.

You will the opportunity to work across a range of exciting work which will support and directly impact the Bank’s outcomes by exploring available data, applying analytical and data mining techniques to connect and uncover actionable insight, solve complex business problems and answer business questions.

Our community is a place to thrive in if you enjoy working in a changing environment and thinking of creative solutions.

In this role you’ll get to…

• Be at the forefront of AI innovation at the Bank’s AI Centre of Excellence (including GenAI, RAAG and Agentic solutions).
• Design and build predictive ML models to understand and solve business problems (e.g. Next Best Conversation, Fraud Prediction, Cross Sell).
• Monitor model performance post-deployment and retrain as needed (statistical monitoring and stakeholder feedback).
• Leverage deep statistical expertise to test hypothesis raised by business (e.g. cause and effect, segmentation).
• Define clear data science opportunities from business engagement.
• Develop data-driven solutions and communicate findings clearly and concisely.

What you’ll bring to the role

To be successful in the role you will have:

• Previous experience in a similar role working with AI and Machine Learning.
• Experience bringing together and applying statistical methods to analyse data.
• The ability to adapt analytical insight to communicate findings appropriate for the audience.
• Outcome focused, with an eye for leveraging technology to enable customer and business value.
• Demonstrated experience with analytics programming languages such as Python.
• Database query experience such as SQL Server, Oracle and NoSQL.
• Experience with Machine Learning software (desirable). E.g. SparkML, TensorFlow.
• Experience with AWS and/or Google Cloud.

We offer flexible work options that put our people first, and a hybrid model with at least 60% of your working week spent in the office.

We believe a diverse workforce supported by an inclusive culture is central to our success and we actively encourage applications from those who bring diversity of thought to our business. We support candidate requests for adjustment to accommodate an illness, injury, or disability to equitably participate in the selection process.

If this sounds like an opportunity for you check out the attached Position Description and apply.  PD_EA_Data Scientist_May2025.pdf

Please note, all internal candidates are required to notify their immediate leader when applying for a new career opportunity and you will be asked to acknowledge they have done so upon submission of your application.

Please contact the Hiring Leader Nathan Baker (Head of Enterprise Analytics) or Kate Weston (Senior Talent Acquisition Advisor) for a confidential discussion if there are any concerns meeting this requirement during the application process, or if you would like to discuss the position further. 

For more information, check out the Application Process for Internal Candidates page. 

Still in two minds?

Research suggests 60% of women and underrepresented groups might stop here, even after getting as far as drafting an application. We believe that diversity makes every team stronger, so even if you don’t tick every box we still want to see your application!

Please note shortlisting and interviews may take place prior to the advertised close date, so don't delay apply now!