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:

• 2-6 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