Company
Location
Melbourne - Australia
Job type
Full-Time
Python Job Details
About the role
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.
The Data Scientist role in the Retail Data Analytics portfolio is critical to making this happen and will be responsible for building advanced models to understand and solve complex data problems. 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. This is a senior contributor role that will suit an experienced professional.
Role Location: Melbourne
Role Type: Permanent
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
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
Support key data platforms and/or tools to support decision delivery to key stakeholders (e.g. frontline, other tribes)
Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance
Develop tools and methods to scientifically profile customers and customer segments, products and channels and associated costs, revenues, risks and opportunities
What will you bring?
We know not everyone will bring all of the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. Some of the skills we are looking for are below, but don’t worry if you don’t have all of these as learning on the job is the way we work.
But back to some of the skills –
Solid understanding of predictive modelling, pattern recognition, clustering, supervised and unsupervised learning
Proven experience in applied probability and statistics
Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. SAS, SQL, Tableau, VBA, QlikView BI)
Good understanding of the Banking system and products, service, channels
Experience in using open source technologies for Data Science, specifically Python/R and key supporting packages/libraries and development environments
Analytical and inquisitive mindset to continuously improve the level of decisions automated
Strong ability to translate data insights into practical business recommendations
Ability to effectively communicate to all stakeholders (technical and non-technical)
So, why join us?
There’s something special about being part of ANZ. From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers.
But it’s not just our customers who’ll feel your impact. You’ll feel it too. Because at ANZ, you’ll have the resources and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate including Health and Wellbeing programs and flexible working arrangements.
You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.careers.anz.com. You may apply for this role by visiting ANZ Careers and searching for reference number 31574
Job Posting End Date
February 16th, 11.59pm, (Melbourne Australia)
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.
The Data Scientist role in the Retail Data Analytics portfolio is critical to making this happen and will be responsible for building advanced models to understand and solve complex data problems. 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. This is a senior contributor role that will suit an experienced professional.
Role Location: Melbourne
Role Type: Permanent
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
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
Support key data platforms and/or tools to support decision delivery to key stakeholders (e.g. frontline, other tribes)
Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance
Develop tools and methods to scientifically profile customers and customer segments, products and channels and associated costs, revenues, risks and opportunities
What will you bring?
We know not everyone will bring all of the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. Some of the skills we are looking for are below, but don’t worry if you don’t have all of these as learning on the job is the way we work.
But back to some of the skills –
Solid understanding of predictive modelling, pattern recognition, clustering, supervised and unsupervised learning
Proven experience in applied probability and statistics
Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. SAS, SQL, Tableau, VBA, QlikView BI)
Good understanding of the Banking system and products, service, channels
Experience in using open source technologies for Data Science, specifically Python/R and key supporting packages/libraries and development environments
Analytical and inquisitive mindset to continuously improve the level of decisions automated
Strong ability to translate data insights into practical business recommendations
Ability to effectively communicate to all stakeholders (technical and non-technical)
So, why join us?
There’s something special about being part of ANZ. From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers.
But it’s not just our customers who’ll feel your impact. You’ll feel it too. Because at ANZ, you’ll have the resources and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate including Health and Wellbeing programs and flexible working arrangements.
You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.careers.anz.com. You may apply for this role by visiting ANZ Careers and searching for reference number 31574
Job Posting End Date
February 16th, 11.59pm, (Melbourne Australia)
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