
Data Scientist
7 days ago
**Req ID**: 84838
**Department**: AR Strategic Delivery Australia Data
**Division**: Australia Retail
**Location**: Bengaluru
About Us
At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
About the Role
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)
Job Posting End Date
7th Feb 2025, 11.59pm, (Melbourne Australia)
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