Data Scientist

Moneyview; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Moneyview in Bengaluru seeks a Data Scientist to own end-to-end ML solutions for credit risk and consumer analytics. You will design, experiment and deploy predictive models using Python or R, leveraging SQL and Excel for data analysis in a fintech context.

The role emphasizes building scalable processes, evaluating new data sources, and collaborating with product and risk teams to drive data-driven decisions.

Qualifications

• Experience building ML models for financial services.
• Strong data analysis skills using SQL and Excel.
• Hands-on experience with Python or R is essential.

Responsibilities

• Define, design and deliver data science solutions in a fast-paced environment.
• Evaluate and apply ML algorithms for credit risk and unsecured lending models.
• Own end-to-end model development lifecycle: data sourcing, training, evaluation, deployment and monitoring.

Skills

Python

R

SQL

Excel

ML models

Tools

Random Forest

XGBoost

Job description

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 (logistic/linear, Random Forest. Xgboost ,etc)
• 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
• Hands on experience in R or Python is must
• Good business understanding of fintech/personal lending space is preferred

Responsibilities

You'll 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 approach, building ML models, evaluation, cost benefit analysis, exploration of new data sources, implementation and monitoring of developed models.
• Working closely with engineering team for deployment of models and infrastructure development.