Data Scientist

Moneyview; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Moneyview in Bengaluru seeks a Data Scientist to own end-to-end analytics and build ML solutions for credit risk and lending. You will design, evaluate, and deploy models while driving data-driven decision making with strong business analysis and data skills.

Exposure to Python or R, SQL, and Excel is essential, with a fintech focus preferred. Collaborate with Product and Risk teams to create scalable data pipelines and impactful KPIs.

Qualifications

• Experience building ML models using common algorithms (logistic/linear, tree-based methods).
• Strong data analysis skills with SQL and Excel.
• Hands-on experience with Python or R is required.
• Familiarity with fintech/personal lending space is preferred.

Responsibilities

• Define, design and deliver data science solutions with product and risk teams.
• Evaluate ML algorithms to build models for credit risk and lending domains.
• Own model development lifecycle: ideation, evaluation, data exploration, deployment and monitoring.
• Collaborate with engineering for model deployment and infrastructure.

Skills

Machine Learning

Python

R

SQL

Excel

Data Analysis

KPI Modeling

Model Deployment

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.