- Experience
- 1 – 3 years
- Pay
- Not disclosed
- Education
- Bachelor's or Master's in a quantitative field (Statistics, Mathematics, Computer Science, Data Science)
- Location
- Noida, India
- Work mode
- Hybrid
- Job type
- Full-time
About this role
Insurity provides cloud-based software for property and casualty insurers. This role sits in its Predict team in India, building predictive models for underwriting, claims and audit in Workers' Compensation and Commercial Auto.
What you will do
- Develop predictive models using GLM, GBM, Random Forest and XGBoost
- Engineer, select and transform features
- Analyze structured and unstructured datasets
- Identify and integrate third-party data sources
- Work with product and engineering to deploy models to production
- Build, train and deploy models with AWS SageMaker and EC2
- Document modeling decisions and share findings with stakeholders
- Support model monitoring over time
What the employer expects
- 1-3 years in data science or predictive modeling
- Strong grasp of GLM and ML algorithms such as GBM, XGBoost, Random Forest
- Python with scikit-learn, pandas and NumPy
- Familiarity with AWS SageMaker and EC2
- Feature engineering and model evaluation experience
- Bachelor's or Master's in a quantitative field
- Ability to turn business problems into analytical solutions
Benefits
- Hybrid work environment
- Generous time off
- Day-one health benefits and employer-matched retirement savings
- Award-winning onboarding program
- Mentorship program
- LinkedIn Learning and Kaplan licenses
- Employee referral bonus
Skills
- Python
- scikit-learn
- pandas
- NumPy
- GLM
- XGBoost
- Random Forest
- AWS SageMaker
- AWS EC2
- Git
Apply on the employer's site
The application opens on Insurity India careers page (Greenhouse). Dev Portal Notes does not collect your application or charge a fee.
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Applications are handled on the employer's own site.
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