About Us

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

Our community of over 5,000 engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future.

About the Role

As a Data Science Chapter Lead in our Tech CDAO - AI Products & Controls team, you'll play a key role in helping to deliver advanced data analysis, using mathematical, statistical and programing skills. This role is responsible for working with internal and external data sources to build analytical models to enable predictive analysis / forecasting and communicate insights through data visualisation and storytelling.

Banking is changing and we're changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you'll be building your future, while helping to build ours.

What will your day look like?

As a Data Science Chapter Lead, you are responsible for leading a team of data scientists and building a world class data science capability. You will have strong people leadership experience and be a highly skilled data practitioner. Importantly, you will be a thought leader who will help influence and drive the evolution of our toolkit and operating model to enable sophisticated data science solutions to be deployed at scale across the division.

What your typical day might look like:

• Address and solve complex business issues using large amounts of data
• Define and measure success through the eyes of the customer and anticipate, understand and respond to evolving customer needs
• Set up and execute strategy to meet customer needs and expectations, now and in the future
• Lead your team through change, transition and uncertainty through developing a strong change agenda, maintaining focus and ensuring open and constructive dialogue around change
• Demonstrate a sophisticated repertoire of influencing techniques and adjust your style to different contexts and audiences
• Work collaboratively with the team to enable them to deliver great results and solve problems whilst at the same time managing various stakeholders across the business
• Ensure the team delivers to commitments while maintaining a healthy work / life balance through a focus on delivering what matters

What will you bring?

To grow and be successful in this role, you will ideally bring the following:

• Experience in advanced analytical modelling (e.g. supervised/unsupervised machine learning), and its use in business contexts
• Experience working with state-of-the-art technology and an in-depth knowledge of machine learning methods to understand and predict customer behaviour
• Strong people leadership skills - able to coach and develop technical team members and drive a positive culture and high performing team
• Deep statistical understanding and affinity for or experience with statistical and mathematical methods of data analysis
• Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation
• Strong ability to translate data insights into practical business recommendations
• Demonstrated ability in working with business stakeholders to understand challenges and requirements, identify opportunities and design appropriate solutions
• Ability to effectively communicate to all stakeholders (technical and non-technical)

You're not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we'd love to hear from you.