Data Science Engineer (Full Stack MLOps)
NSW, Australia
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.
Main Responsibilities:
- 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.
- Establish and maintain 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.
What’s in it for me?
You will play an important and significant part in the future of a business that has been around for 200 years. Our vision is to create better futures together. We will support your career development with internal career prospects and flexible working. You will also be backed by a fantastic team of people in a supportive structure.
What do I need?
- Proven experience in managing and maintaining data science infrastructures, such as Docker, Git, Linux OS, networking, managing certificates.
- Proficiency in Python and advanced SQL coding skills, with experience in Teradata being highly advantageous.
- Minimum 5 years of relevant experience in a similar role.
- Tertiary qualification in Computer Science, Statistics, Actuarial, or Data Science required.
- Familiarity with R programming, Azure ML, and PMML standard model implementation in Teradata.
- Experience with container technologies such as Docker and Podman.
- Knowledge of unsupervised machine learning and Bayesian models is a plus.
What’s it like to work there?
As well as competitive remuneration and a great culture, joining the Westpac family means you will get some of the best banking, wealth, and insurance benefits in the market.
We back our employees by helping them work towards industry-recognised qualifications, using online learning, training modules and career planning tools for you to grow with us. We will even pay you to do volunteer or community work.
We aim to provide one big, supportive team to help us achieve our purpose of creating better futures together. Joining the Westpac family means you will have access to banking, wealth, and insurance benefits.
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
Do you need reasonable adjustments during the recruitment process?
We can provide reasonable adjustments for individuals with disability and/or neurodiversity. If you require an adjustment to be made during the recruitment process at any stage, please call 1800 655 592 Option 2.3 or email
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