About Us

At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.A

About the Role

As a Data Scientist in the Personalisation Tribe, you’ll play a key role in helping to drive value and improve customer experiences through descriptive and predictive models, and analyses using advanced analytics techniques. You will work with data engineers and data analysts to determine the relevant internal and external data sources to enable developing predictive and descriptive models. You will work with data analysts and business stakeholders to develop and iterate analyses that enable data driven decision making.

What will your day look like?

• Work with different data sources and analyse customer data to understand trends and provide insights using classic and advanced analytics techniques. 
• Build, deploy, and productionize algorithmic and predictive models to improve marketing campaigns and personalize customer experiences.
• Work closely with Marketing and Analytics teams to enhance targeted campaigns and personalized communications.
• Meet and collaborate with stakeholders to understand their needs and requirements  and provide meaningful insights.
• Utilising statistical and advanced analytics techniques to monitor different metrics and deliver data-driven insights and solutions.

What will you bring?

• At least 3 years of work experience as a Data Scientist or relevant roles and proficiency in SQL and Python, also experience with PySpark and GCP is a plus.
• Strong analytical thinking skills, combined with knowledge of statistics and advanced analytics.
• Experience working with large and diverse datasets, ideally in a banking or marketing environment.
• Good communication and storytelling skill to explain insights to non-technical stakeholders.
• Ability to work with cross-functional teams and work closely, collaboratively, and efficiently with team members in different geographies. 

Job Posting End Date

4th Nov 2024, 11.59pm, (Melbourne Australia)