Junior Data Scientist / Machine Learning EngineerDepartment:AR Strategic Delivery Australia DataDivision:Australia RetailLocation:MelbourneAbout UsAt 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 RoleAs 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 dataDevelop advanced algorithms that transform key business processes and automate banker decisions and activitiesImplement a fact-based culture throughout the bankContinuous 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 propositionsDesign, build, deploy, monitor and assess relevant models for customers, clients, products and channelsDevelop tools and methods to scientifically profile customers and customer segments, products and channels and associated costs, revenues, risks and opportunitiesSource data from a variety of sources to combine, synthesise and analyse to support campaigns, pricing, propositions and other decisionsInitiate, design and implement innovative capabilities in the field of data scienceLead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performanceWhat will you bring?Solid understanding of statistical methods and machine learning techniquesExperience working with SQL and PythonExperience in statistical analysis, building machine learning models in PythonStrong communication and presentation skillsGood understanding of banking products and servicesStrong customer lens and affinityAbility to effectively communicate to all stakeholders (technical and non-technical)#J-18808-Ljbffr