Data Science Chapter Lead — ML & Strategy

Australia and New Zealand Banking Group Limited; Melbourne; Hybrid; AUD 180,000 - 230,000; Full time

Job summary

Australia and New Zealand Banking Group Limited (ANZ) is seeking a Data Science Chapter Lead in Melbourne to lead a team of data scientists and evolve a world-class data science capability. You will drive predictive analytics, build scalable models, and deliver insights that inform business decisions.

You will coach a talented team, partner with stakeholders across Technology and Business, and shape the analytics toolkit and operating model for scale across the division.

Qualifications

• Experience in advanced analytical modelling (supervised/unsupervised ML) and its business applications.
• Strong people leadership skills to coach and grow a technical team.
• Deep statistical understanding and proficiency in data analysis methods.
• Ability to translate data insights into practical business recommendations.
• Experience communicating with both technical and non-technical stakeholders.

Responsibilities

• Lead a team of data scientists to build scalable analytics solutions.
• Define strategy to meet customer and business needs with data-driven insights.
• Oversee development of predictive models and data visualisation dashboards.
• Collaborate with stakeholders to gather requirements and translate into actionable outcomes.
• Foster a strong change agenda and maintain a high-performing culture.

Skills

Advanced data analysis

Machine learning

People leadership

Statistical analysis

Data visualization

Stakeholder communication

Tools

Python

SQL

Data visualization tools

Job description

Australia and New Zealand Banking Group Limited (ANZ) is seeking a Data Science Chapter Lead in Melbourne to lead a team of data scientists and evolve a world-class data science capability. You will drive predictive analytics, build scalable models, and deliver insights that inform business decisions.

You will coach a talented team, partner with stakeholders across Technology and Business, and shape the analytics toolkit and operating model for scale across the division.