Data Scientist

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