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

ANZ Recruitment 2023:

Company NameANZ
Post NameData Scientist
Salary₹6 LPA*
Experience0-2 yr
Job LocationBangalore
Last date to apply25/01/2023

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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