ANZ Banking Group Hiring for Data Scientist Job at Bangalore Full Time

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.

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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)