Data Science Engineer (Full Stack MLOps)

at  WESTPAC BANKING CORPORATION

JOB DESCRIPTION

• Sydney location with flexible working
• Be a part of a world class team

HOW WILL I HELP?

Join a pioneering and expanding team dedicated to excellence and innovation in the banking industry. We are seeking a dynamic Full Stack Data Science Engineer who is eager to learn, grow, and contribute to delivering market-leading solutions. This role focuses on the development and management of robust data science infrastructure and deployment pathways, essential for launching advanced pricing capabilities that drive significant business impact.
The ideal candidate will have a strong foundation in data infrastructure, with a willingness to expand their skills in predictive modelling through on-the-job training opportunities provided by the team. As the Pricing Portfolio Optimisation squad in CTB LOB, we are pioneers in leveraging big data to enhance the effectiveness of our customer pricing strategies. Our team works closely with stakeholders to communicate and implement pricing strategies.

The main role accountabilities and responsibilities will include:

• Develop and maintain technical architecture to ensure effective delivery of machine learning outcomes into existing business processes in Teradata.
• Lead the engagement with Group Data and Technology to operationalise the ML models on both local & Azure ML environments
• Lead the establishment and maintenance of a collaborative, reproducible data science environment that supports seamless handoffs among team members.
• Manage the full lifecycle of predictive model development and deployment, including model risk engagement.
• Utilise an agile approach for managing deliverables, employing tools such as Confluence for documentation and JIRA for project tracking.
• Collaborate closely with team members to refine and enhance predictive model performance iteratively after initial MVP launch.
• Effective delivery of machine learning outcomes integrated into existing business processes in Teradata.
• Successful deployment and maintenance of predictive models with documented risk engagement.
• Regular updates and tracked progress using Confluence and JIRA.
• Enhanced performance of predictive models post-MVP launch through iterative collaboration.

HOW DO I APPLY?

Start here. Just click on the APPLY button.
At Westpac we are committed to providing a supportive culture and creating diverse, inclusive, and accessible workplaces, branches, products and services for our customers, employees, and community. This role is open to experienced candidates seeking a discussion around workplace flexibility. We invite candidates of all ages, genders, sexual orientation, cultural backgrounds, people with disability, neurodiverse individuals, and Indigenous Australians to apply. If you have questions about the recruitment process, please email talentacquisition@westpac.com.au.

• Develop and maintain technical architecture to ensure effective delivery of machine learning outcomes into existing business processes in Teradata.
• Lead the engagement with Group Data and Technology to operationalise the ML models on both local & Azure ML environments
• Lead the establishment and maintenance of a collaborative, reproducible data science environment that supports seamless handoffs among team members.
• Manage the full lifecycle of predictive model development and deployment, including model risk engagement.
• Utilise an agile approach for managing deliverables, employing tools such as Confluence for documentation and JIRA for project tracking.
• Collaborate closely with team members to refine and enhance predictive model performance iteratively after initial MVP launch.
• Effective delivery of machine learning outcomes integrated into existing business processes in Teradata.
• Successful deployment and maintenance of predictive models with documented risk engagement.
• Regular updates and tracked progress using Confluence and JIRA.
• Enhanced performance of predictive models post-MVP launch through iterative collaboration