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Data Scientist - Institutional
  • Python
  • SQL
  • SAS
  • Machine Learning
  • Data Analysis
  • Excel
  • Database
  • Scala
  • Pandas
  • NoSQL
  • scikit-learn
ANZ Banking Group
Melbourne VIC
133 days ago

Job Title: Data ScientistLocation: Melbourne
  • Help shape the future of how we use data to deliver powerful insights
  • Get stuck into our huge data sets to create solutions for our customers
  • Learn from leaders in data science / predicitive modelling / natural language processing / machine learning
At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Data Scientist to join the Institutional Technology Domain. The Institutional Technology domain will deliver full end-to-end world class products and services to our global Institutional, Corporate and Commercial and Retail customers across Asia. It will incorporate capabilities across areas of Investment Banking, Trading and Sales, Cash Management, Wholesale Lending and Trade Finance. We will enable our Institutional business partners and customers through providing stable, scalable, innovative and leading technology platforms and solutions which focus on great customer and banker experience, operational excellence and future ready technology - aligning focus on business strategic outcomes and high value technology practicesAs a data scientist, you will undertake extensive data analysis to identify root causes to complex business problems. Combining your business acumen and technical knowledge to provide expert actionable advice and creative solutions suitable for the current business landscape and challenges.You will understand the power of data as you creatively push boundaries with teams, stakeholders and peers to reshape how the organisation visualises data and solution; support the direction of technology platforms; drive innovation with a sense of purpose that will ultimately enhance our customer and system interactions.What a typical day might look like
  • Enables continuous delivery practices to increase delivery speed
  • Utilises tools and best practices to build, verify and deploy solutions in the most efficient ways, enhancing tech division capabilities
  • Works in collaborative teams to build innovative solutions
  • Contributes to Engineering communities, meetups and conferences to promote technology development culture and practices
  • May create, understand and monitor application metrics
  • Creates estimates and continuously reviews demand within the individual Squads/teams
What will likely be in your toolkit?
  • Good understanding of AI/ML techniques and algorithms
  • Experienced in one or more software development roles previously eg: Front/Back end Engineer, Integration Engineer, full stack developer etc
  • Experienced working with operations and architecture groups developing scalable and supportable solutions (desired but not mandatory)
  • Pays attention to the detail and demonstrates problem solving capability to develop and deliver quality solutions
  • Solid understanding of statistical techniques for extracting signals from noisy dataset, techniques for optimisation
  • SQL / NoSQL, deep and broad understanding of database technologies and integration into software
  • Excellent Python knowledge – experience with eg. pandas, scikit-learn, opencv
You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture and we actively encourage people to try new things. So if this role interests you and you feel you have most of these things in your toolbox, we’d love to hear from you.About ANZWe’re reinventing the way we do banking, and our community of collaborative, innovative thinkers who create human centred solutions are helping us get there. We’re responding faster to changing customer requirements, focusing on the things that matter and helping people achieve incredible things – be it buying their home, building a business or saving for things big or small.We support our people by providing a range of flexible working options so they can work in the way that best suits them. We encourage you to talk to us about your need for flexibility and any adjustments you may require to our recruitment process or the role itself.We’ll also offer you the opportunity to develop your career, working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated and create a great place to grow, thrive and belong.Interested in joining us? Click Apply now, or visit to find out more or view other opportunities.Reference number AUS115248

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