Senior Data Scientist

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 the 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, and 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 the development and maintenance of proprietary marketing techniques and other knowledge development projects
  

Requirements

• Hands-on experience in Analytics Tools - Python/SQL/SAS.
• Predictive Analytics - Machine Learning Algorithms, Logistics and Linear Regression, Decision Tree, Clustering, XGBoost, Data-driven business strategy - Data Preparation, Data Exploration, Data modelling, and strategy implementation.
• 4-8 years of experience in analytics, preferably in the 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.
• Entrepreneurship - we are empowered to act decisively and create value.
• Integrity - we are consistent in our thoughts, speech, and actions.
• Trusteeship - we protect the interests of our customers, community, employees, partners, and shareholders.
• Humility - we aspire to be the best, yet strive to be humble.