ANZ Off Campus Drive 2023 | Data Scientist | Apply Asap

A student from various disciplines can Apply. Interested and eligible candidates can read more details below.

ANZ Recruitment 2023:

Job Responsibilities:

• ​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.

Eligibility Criteria:

• Any Graduate from any stream

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Preferred skill:

• 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).

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