Data Scientist

Job Summary

Data Scientist

Experience: 2-6 Years

Location: Bangalore

Commitment: Full-Time

Team: Data Science

Requirements

We are looking for a Data Scientist preferably from financial services, large banks/MNCs.

• Own end-to-end business problems and metrics, build and implement ML solutions.
• Design, experiment and evaluate innovative models for predictive learning.
• Establish scalable, efficient, and automated process for large scale data analysis, feature creation, model development and deployment.
• Exposure/Experience in developing Machine Learning models using various algorithms (e.g., logistic/linear, Random Forest, Xgboost).
• Strong background in business analysis (consumer/business strategy, financial products, pricing, etc.) with very strong data analysis (e.g., SQL, Excel) experience.
• Strong understanding of how to structure analysis and to solve real-world business problems.
• Ability to identify key drivers of business and create KPIs/modeling solutions for the same.
• Expertise in end-to-end model development and model lifecycle management (develop, deploy, monitor) is preferred.
• Hands-on experience in R or Python is a must.
• Good business understanding of the fintech/personal lending space is preferred.

Key Responsibilities

You'll work closely with the Product and Risk Team to:

• Define, design and deliver solutions using data science/analytics in a fast-paced environment.
• Evaluate and apply machine learning algorithms to build a variety of data science models particularly in the credit risk/unsecured lending domain but not limited to.
• Complete ownership including but not limited to identifying model development approach, building ML models, evaluation, cost-benefit analysis, exploration of new data sources, implementation and monitoring of developed models.
• Working closely with the engineering team for deployment of models and infrastructure development.