Insurity Solutions India Private Limited
https://insurity.comAbout
Insurity is a leading provider of cloud-based software for insurance carriers, brokers, and MGAs. Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 MGAs in the US and has over 400 cloud-based deployments. Through its best-in-class digital platform and with unrivaled industry experience and the industry’s most robust analytics offerings, Insurity is uniquely positioned to deliver exceptional value, empowering customers to focus on their core businesses, optimize their operations, and provide superior policyholder experiences. Insurity is a portfolio company of GI Partners and TA Associates.
Tech stack
.NET
Java
Amazon Web Services (AWS)
Angular (2+)
Docker
Jenkins
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Candid answers by the company
Insurity’s vision is all about empowerment. Empowering insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical software. It’s also about empowering our team members through tools, training, teamwork, and professional development opportunities.
Specialties: Property & Casualty, Software Consulting, Insurance, Technology, Commercial Insurance Solutions, Data Integration, Predictive Analytics, Cloud Operations, and Digital Enablement
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Jobs at Insurity Solutions India Private Limited
Data Science
PythonInsurity’s Next Data Scientist:
We are seeking a Data Scientist to join our Predict team, focused on building and maintaining predictive models that support underwriting, claims, and audit use cases across Workers' Compensation and Commercial Auto. This role will be based in India and will play a key part in scaling our data science capabilities.
What Our Data Scientist Will 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 and support model development
- Indentify and integrate third-party data sources to augment existing datasets and improve model accuracy
- Collaborate with product and engineering teams to integrate models into production environments
- Use AWS tools such as SageMaker and EC2 to build, train, and deploy models
- Document modeling decisions and communicate findings to technical and non-technical stakeholders
- Support model monitoring and performance tracking over time
Who We’re Looking For:
- 2-5 years of experience in data science or predictive modeling
- Strong understanding of GLM and ML algorithms (GBM, XGBoost, Random Forest)
- Experience with Python and relevant libraries (scikit-learn, pandas, 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
- Strong communication skills and ability to work collaboratively in a cross-functional team
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science)
- Active listening
- Analytical and critical thinking
- Self-starter and quick learner
- Detail-oriented
- Ability to collaborate and work independently
- Written and oral English communication
- Time management including work planning, prioritization, and organization
- Sound judgement
- Ability to handle multiple priorities or tasks
- Flexible and adaptable
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