Data Scientist

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

mandatory

• 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