Data Scientist - R/Python (2-5 yrs)

What we are looking for :

- Data Scientist preferably from financial services, large banks/MNCs.

- Strong background in business analysis (consumer/business strategy, financial products, pricing, etc.) with very strong data analysis (Sql, excel, etc,) 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

- Exposure/Experience in developing Machine Learning models using various algorithms (logistic/linear, Random Forest. Xgboost ,etc)

- Hands on experience in R or Python is must

- Exposure to unstructured data analytics and big data handling is a plus

- Good business understanding of fintech/personal lending space is preferred

Responsibilities :

You will work closely with the Product and Risk Team to :

- Define, design and deliver solutions using data science/analytics in fast paced environment

- Evaluate and apply machine learning algorithms to build variety of data science models particularly in credit risk/unsecured lending domain but not limited to

- Complete ownership including but not limited to identifying model development approaches, 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.