Data Scientist – Data Portfolio

About the role

Data Scientist – Data Portfolio
Location: Melbourne
Full Time and Part Time opportunities available 
Blended Working Mode

At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by improving the financial wellbeing and sustainability of our customers so they can achieve incredible things– whether they’re buying a home, building a business, or saving for things big or small.

We need a talented Data Scientist to join our Australia Data tribe. The Australia Data tribe sits within our Australia Retail & Commercial division and our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ’s Australia Retail & Commercial division.

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.

What will your day 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 the role, you will ideally bring the following:

Solid understanding of Statistical methods and Machine Learning techniques

Experience working with SQL and Python

Experience in Statistical Analysis, building and deploying 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 % 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.