Data Scientist/Machine Learning Engineer

About Us

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

As a Data Scientist, you are accountable for building advanced models to understand and solve complex data problems through advanced modelling. Working with Data Engineers and Data Analysts you will determine the relevant internal and external data sources to enable developing predictive and descriptive models. You will work hard to apply your analytical skills to a broad range of data points to develop customer centric solutions. You will be communicating insights and models through impactful data visualisation and storytelling. With data and analytics at the heart of everything you do, you uncover insights and enable data driven decision making.

Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.

Role Type: Permanent 
Role Location: Melbourne
Work Hours: Full time

What will your day look like?

We need a talented Data Scientist to be part of the centralised data function supporting the development of data science and analytics solutions within the operations area. You will work with the team to ensure that priorities are delivered and contribute towards the creation of cross functional and agile team. As a team member you will be required to build advanced data-driven solution utilising descripting analysis and machine learning techniques to solve complex problems and generate sophisticated insights. 

What your typical day might look like:

• Address and solve complex business issues using large amounts of data
• Develop advanced algorithms that transform key business processes and automate banker decisions and activities
• Implement a fact-based culture throughout the bank.
• Continuous generation, monitoring, presenting and conducting of 'fact-based' analysis and models to use at any time for the development and improvement of relevant and innovative propositions
• Design, build, deploy, monitor and assess relevant models for customers, clients, products and channels
• Develop tools and methods to scientifically profile customers and customer segments, products and channels and associated costs, revenues, risks and opportunities
• Source data from a variety of sources to combine, synthesise and analyse to support campaigns, pricing, propositions and other decisions
• Initiate, design and implement innovative capabilities in the field of data science
• Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance

What will you bring?

To grow and be successful in this role, you will ideally bring the following:

• Mid-level experience in a Data Scientist role
• Solid understanding of Statistical methods and Machine Learning techniques
• Experience working with SQL and Python
• Experience in Statistical Analysis, building Machine Learning models in Python
• Understanding/Interest in MLOps practices
• Strong communication and presentation skills
• Good understanding of Banking products and Services
• Strong customer lens and affinity
• Ability to effectively communicate to all stakeholders (technical and non-technical)

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.

So why join us?

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 91732 .
 

Job Posting End Date

15/04/2025 , 11.59pm, (Melbourne Australia)