Data Scientist

3 weeks ago


bangalore, India Australia and New Zealand Banking Group Limited (ANZ) Full time

Data Scientist / Analyst

Data Scientist / Analyst

Req ID: Department: AR Strategic Delivery Australia Data Division: Australia Retail Location: Bengaluru

About the role

Data Scientist/Analyst – Australia Data

Role Location: Bengaluru (RMZ Ecoworld)

Role Type: Permanent, 4.2/ 4.3


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/Analyst , you are accountable for building models to understand and solve complex data problems through data 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 very large volume of data

Develop insights and algorithms that transform key business processes and automate banker decisions and activities

Continuous generation, monitoring, presenting and conducting of 'fact-based' analysis, insights 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 and data analytics

Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance

What will you bring?

7 Plus years of experience in Data Analytics/ Data Science

Analytical mindset with ability to analyse data and generate insights

Good understanding of predictive modelling, clustering, supervised and unsupervised learning

Experience in Python and SQL is mandatory

Experience building and deploying pipelines for Model training, deployment and monitoring using Airflow and integrating data quality checks is preferred

Strong ability to translate data insights into practical business recommendations

Strong data management skills, 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?

Job Posting End Date

10/06/, 11.59pm, (Melbourne Australia)


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