Description

You will build and maintain predictive models to solve business problems including attrition, lead conversion, and risk and collection modeling.

This role is on-site.

Responsibilities

• Build, train, and validate predictive models such as bureau scorecards and cross-sell/upsell models.
• Own the model lifecycle from exploratory data analysis through to continuous performance monitoring.
• Develop and maintain scalable, efficient code for model pipelines and feature repositories.
• Conduct exploratory data analysis to identify trends and patterns within datasets.
• Translate business requirements into data-driven solutions and actionable insights.

Required Skills

• 2+ years of experience in data science roles.
• Proficiency in Python and PySpark.
• Strong SQL skills for data extraction and manipulation.
• Experience with data preparation and feature engineering.
• Hands-on experience with predictive modeling workflows.
• Ability to manage model lifecycle configurations and codebase changes.
• Experience in model training, validation, and continuous performance monitoring.

Preferred Skills

• Experience in risk and collection modeling.

Key Skills

Education

Any Graduate