At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by improving our customers’ financial wellbeing so they can achieve incredible things – be it buying their home, building a business or saving for things big or small.
Role Location : RMZ, Ecoworld. Bengaluru
The Australia Data tribe sits within our Australia Retail & Commercial division and our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ’s Australia Retail & Commercial division.
As a Data Scientist, you are 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 predictive modelling, pattern recognition, clustering, supervised and unsupervised learning
Experience in Python and key supporting packages/libraries for Data Science
Experience managing Machine learning lifecycle using MLFlow and performing data processing & transformation using PySpark and Object Store
Experience building and deploying pipelines for Model training, deployment and monitoring using Airflow and integrating data quality checks.
Experience setting up dashboards for ongoing monitoring of ML Models.
Strong ability to translate data insights into practical business recommendations
Strong statistical modelling and data management skills
Strong communication and presentation skills
Ability to lead and inspire a team
Good understanding of the Banking system and products, service, channels
Strong customer lens and affinity
Analytical and inquisitive mindset to continuously improve the level of decisions automated
Ability to effectively communicate to all stakeholders (technical and non-technical)
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, energizing our people, eliminating waste and reducing bureaucracy
A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded
ANZ recognizes the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key inherent needs and requirements of each role, and candidates are selected based on their unique strengths and characteristics.
We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.
You may apply for this role by visiting ANZ Careers and search for reference number – 30260
Job Posting End Date
25/01/2023, 11.59pm, (Melbourne Australia)