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Senior Associate, Data Scientist, Consumer Banking & Core Engine

2.00 to 10.00 Years   Hyderabad   05 Dec, 2022
DBS Asia Hub 2
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    *Senior Associate, Data Scientist, Consumer Banking & Core EngineBusiness Function As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. We want to be the most intelligent bank in the world by leveraging AI and Data Science for building hyperpersonalisation solutions for our customers.Key Responsibilities:Consult with business stake holders to understand the business problem and devise data driven solutions. Develop end to end data driven solutions starting from business problem understanding to deployment and productionising of the devised solution Continuously improve the existing processes of developing and deploying machine learning solutions. Identify new opportunities from the bank by analysing the vast amounts of both structured and unstructured data. Develop cross sell, Up Sell, Attrition models to aid customer management and enable additional revenue to the bank. Develop Hyper personalisation solutions for the consumer bank.Required Skills: A Solid understanding of statistics ,mathematical modeling, Machine learning. 2-10 years of experience of using machine learning techniques Solid experience in building decision trees, Random Forest, Gradient boosting both for classification as well as regression problems End to end experience right from solution development to deploying models into production. Ability to program in Python or PySpark. Additional knowledge in R, SAS, SQL is a plus Proactive and able to work under pressure, strong problem-solving skills, and positive attitude Excellent written and verbal communication skills A demonstrated ability to self-learn new skills and technologies Experience in analytics and modeling in banking domain is good to have but not necessary,

Keyskills :
customer relationsinsurancequalitysalesmisdata sciencemachine learningconsumer bankingcommercial modelsposition managementportfolio marketingspectrum management

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