Data Scientist - Service Strategy & Governance

About the role

As a Data Scientist within our Enterprise Services Division your role will be to solve complex problems and generate sophisticated insights on the performance and health of the bank’s services. As a Data Scientist you will be able to interpret complex data stores and information models, in order to provide data insights which, deliver measurable benefit to the bank.

The data science team in the Service Strategy and Governance function (with Enterprise Service Management - EMS) exists to develop and deliver the best-in-class data science driven initiatives and outcomes for our IT services customers and colleagues. The team delivers a wide range of analytical artifacts, such as;

Automated reporting (dashboards) to enable the business to track performance of critical metrics more effectively
Deep dive investigations of hypothesis that have been taken from the business and advance analytics as been applied to direct the business strategy and future work
The team will be looking to deliver automated machine learning models to communicate future trends on services to enable a continuous improvement of the service lifecycle
What will your day look like
Statistical Analytics & Modelling - Advanced modelling, statistics, research and causality to understand complex data problems relating to the performance of the bank’s services. This will include approaching IT service operational problems with left-field thinking, where they are able to look for macro trends in the industry and region, not simply to the data contained within our IT Service Management systems
Data Analysis - Translating data into insights and using it to make better business decisions and to deliver customer/user centric solutions. Extracting data from a variety of sources and combining, synthesising and analysing to generate insights and/or business performance reports. This will be used to make better business decisions to deliver a customer/user centric solution
Communication – Clearly communicating and presenting ideas and outcomes to stakeholders
Solution Design - Designing technical and non-technical solutions to resolve a problem or meet a customer need. Work with analytics partners to provision data and shape insights
What will you bring?
Experience in creating advanced analytics modelling (e.g. supervised/unsupervised machine learning) and its use in business contexts
Mastery with Business Intelligence software e.g. Qlik and Tableau
Experience working with state-of-the-art Technology and an in-depth knowledge of machine learning methods to understand and predict customer/user behaviour
Experience in preparing and combining data using SQL and NoSQL
Advance Python or R skills
Experience in delivering strategic solutions to join large numbers of disparate datasets together to answer complex business problems
Data Governance, Quality & Control skills and experience
Data test automation capabilities
Strong communication and presentation skills to translate analysis into insights and present findings
Process automation, deep system expertise, forensic mindset
Ability to effectively communicate to all stakeholders (technical and non-technical)
Mastery level understanding of how to present and visualise data using the right tools for the right purposes
Strong understanding of IT Service Management and IT Asset Management, including ServiceNow data model, the Common Service Data Model (CSDM) and ITIL 4
So, why join us?

At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

A happy workplace is a thriving one. So to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.

We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you. Some of the work we do can be done from home, and some from an ANZ workplace – it’s all about what works for your team, and above all else, our customers!

We want to make sure everyone has an inclusive and supportive experience throughout our recruitment process and when joining ANZ. If you are a candidate with a disability, and require adjustments to our recruitment process or the role itself let us know how we can provide you with additional support.

Job Posting End Date

25th August 2022, 11.59pm, (Melbourne Australia)