Data Scientist (4.4)

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: Part time (20 hours per week)

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 this role, you will ideally bring the following:

• Experience in SQL and Python
• Experience in Statistical Analysis, building Machine Learning models in Python
• Experience in data processing & transformation using DBT/PySpark
• Strong ability to translate data insights into practical business recommendations
• Strong communication and presentation skills
• Good understanding of the Banking system and products, service, channels
• Strong customer lens and affinity
• Analytical and inquisitive mindset to continuously improve the level of decisions automated
• 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.

Job Posting End Date

07/08/2024 , 11.59pm, (Melbourne Australia)