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Job Location: Bengaluru
About the role
Data Scientist – Australia Data
Role location – Manyata Tech Park, Bangalore
Role Type – FTE, 5.1
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 our Australia Data tribe. 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?
2 plus years of experience in data analytics/ data science.
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?
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. And that’s big.
But it’s not just our customers who will 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 to provide all our people:
Health and wellbeing programs
Discounts on selected products and services (from ANZ and beyond)
Flexible working arrangements, lifestyle leave and career breaks
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.
Job Posting End Date
15/10/2022, 11.59pm, (Melbourne Australia)
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