Associate, Data Scientist, GSTAR

Overview

{"@context":"https://schema.org/","@type":"JobPosting","title":"Associate, Data Scientist, GSTAR","datePosted":"2025-03-19T00:00:00","employmentType":["FULL_TIME"],"validThrough":"2025-07-17","hiringOrganization":{"@type":"Organization","name":"DBS Bank","logo":"https://media.glassdoor.com/sql/611812/dbs-bank-squarelogo.png","sameAs":"https://www.glassdoor.co.in/Overview/Working-at-DBS-Bank-EI_IE611812.11,19.htm"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderābād","addressRegion":"Telangana","addressCountry":{"@type":"Country","name":"India"}},"geo":{"@type":"GeoCoordinates","latitude":17.41141,"longitude":78.48478}},"description":"Business FunctionGroup Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.Roles & Responsibilities•; We’re looking for Data scientists across different levels to drive our journey towards becoming the most intelligent bank in the world•; 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 analyzing 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 personalization solutions for the consumer bankRequirement•; A Solid understanding of statistics, mathematical modeling, Machine learning•; Solid experience in building decision trees, Random Forest, Gradient boosting or any other ML methods 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, PySpark and SQL•; 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","salaryCurrency":"INR","estimatedSalary":{"@type":"MonetaryAmount","currency":"INR","value":{"@type":"QuantitativeValue","minValue":575000,"maxValue":675000,"unitText":"YEAR"}},"educationRequirements":{"@type":"EducationalOccupationalCredential","credentialCategory":""},"experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":"0","description":"Statistics, Software deployment, SQL, Machine learning, Data science, Communication skills, Banking, Python, Analytics"},"experienceInPlaceOfEducation":false,"industry":"Finance","jobBenefits":"Maternity & Paternity Leave, Sick Leave, Vacation & Paid Time Off","directApply":false}]]>