Data Scientist

Overview

Data Scientist role on Insurity’s Predict team to build and maintain predictive models for underwriting, claims, and audit use cases.

What you'll do

• Develop predictive models using GLM and machine learning techniques such as GBM, Random Forest, and XGBoost.
• Perform feature engineering, selection, and transformation to optimize model performance.
• Analyze structured and unstructured datasets to uncover insights for model development.
• Identify and integrate third-party data sources to augment datasets and improve accuracy.
• Collaborate with product and engineering teams to integrate models into production.
• Use AWS tools like SageMaker and EC2 to build, train, and deploy models.
• Document modeling decisions and support model monitoring and performance tracking over time.

What you'll need

• 1-3 years of experience in data science or predictive modeling.
• Strong understanding of GLM and ML algorithms (GBM, XGBoost, Random Forest).
• Experience with Python and libraries such as scikit-learn, pandas, and NumPy.
• Familiarity with AWS tools, especially SageMaker and EC2.
• Experience with feature engineering and model evaluation techniques.
• Ability to translate business problems into analytical solutions.
• Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science).

Details

• Based in India.
• Hybrid work environment.