Junior Data Scientist / Machine Learning Engineer Department: AR Strategic Delivery Australia Data
Division: Australia Retail
Location: Melbourne
About Us At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
About the Role As a Junior Data Scientist/ML Engineer within our Data Portfolio, you will sit within our Australia Retail & Commercial division where our mission is to combine business and technology capabilities to enable analytics, reporting and data asset development by users across ANZ's Australia Retail & Commercial division.
You will be 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? 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 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)
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