This role will:

Advocate, evangelize and enable data-driven analytics that help grow ANZ Retail and Commercial Corporate business and customer base.

The role will require the incumbents become an expert on our datasets. Provide iight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce creative analytic solutio contributing to team overall deliverables.

The role will work with cross-functional team membe to identify and prioritize actionable, high-impact analytics opportunities across Retail and Commercial banking areas. Research, design, implement and validate cutting-edge analytics and data visualization techniques to demotrate targeted outcomes.

Experience in one of the following disciplines, operatio research, mathematics, applied statistics, data mining, machine learning and computer engineering is preferred. The incumbents need to have a good undetanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.

You will have the opportunities to wear both hats as product manage and enginee. Develop analytics solutio that influence the thinking of everyone around you.

If you are looking for a test-driven, collaborative and iterative delivery environment. Love for learning, data, scale and agility, the role is ideal to you.

Requirement:

Strong communication skills, Strong project leading skills for lead data scientist, a demotrated track record of managing multiple development projects, ability to develop and foster relatiohips with the business, Attention to detail, strong undetanding of the analytics development lifecycle, Experience with data extraction, Excellent problem solving skills, Previous experience with exploratory data analysis and predictive modelling. Business knowledge in Retail, Commercial banking or general product sales and marketing areas. Experienced in structured and utructured data.