Data Scientist

20 hours ago

Bangalore Urban Karnataka India, IN Piramal Finance Full time

QUALIFICATION:

Masters in Economics, Statistics, Computer Sciences, Mathematics, Operational Research, Business or Engineering graduate from a reputed college


EXPERIENCE:

  • Hands on experience in Analytics Tools – Python/SQL/SAS
  • Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree,
  • Clustering, XGBoost
  • Data driven business strategy – Data Preparation, Data Exploration, Data modelling and strategy implementation


Job Conditions:

  • 1-6 years of experience in analytics preferably in Financial services (Retail lending) industry, but not Strong expertise in Python/SQL and ML algorithms
  • Expertise – we strive for a deeper understanding of our domain
  • Innovation – we aspire to do things creatively Action
  • Entrepreneurship – we are empowered to act decisively and create value
  • Integrity – we are consistent in our thoughts, speech and action Care
  • Trusteeship – we protect interests of our customers, community, employees, partners & shareholders
  • Humility – we aspire to be the best, yet strive to be humble


KEY ROLES/RESPONSIBILITIES:

  • Enabling retail lending business to achieve growth outcomes via analytical strategy.
  • Design and Own framework for creating customer level pre-approved monthly offers
  • Develop a clear understanding of client’s business issue to inform the best approach to the problem, Root Cause Analysis
  • Define data requirements for creating a model and understand the business problem
  • Clean, aggregate, analyze, interpret data and carry out quality analysis of it
  • Set up data for predictive/prescriptive analysis
  • Development of AI/ML models or statistical/econometric models.
  • Working along with stakeholders across the organization
  • Looking for insight and creating a presentation to demonstrate these insights
  • Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects

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