Insurity
Who We Are
Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud‑native, easy‑to‑use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed.
We don’t just make bold promises—we deliver results. As the largest cloud‑based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise.
While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award‑winning onboarding experience welcomes and supports you from the moment you accept our offer.
Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you.
#UatInsurity
What’s In It For U
Work Where You Thrive:
Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative
Generous Time Off : Our leadership believes in taking the time you need when you need it.
Day One Health Benefits + Employer‑Matched Retirement Savings : You might think these are table stakes, but we know these matter to you.
More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent.
Award‑Winning Onboarding Program : We set you up from the get‑go to make a significant impact from Day One and follow you through your entire first year.
Real Career Growth Opportunities : We love to promote from within with over 20% of our open roles filled through internal applicants on average.
Mentorship Program:
We support a champion culture and growth mindset by pairing you with experienced, talented leaders to help you grow personally and professionally.
Internal Networking:
Build relationships, network, collaborate, and stay connected with colleagues internally with our one‑of‑a‑kind online Coffee for Two program.
Continuous Learning Opportunities : Own your development with your own LinkedIn Learning and Kaplan licenses.
Employee Referral Bonus : Once you come onboard, give Insurity the biggest compliment you can give by referring someone to work here and earn a referral bonus.
Insurity’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 Proficient knowledge and experience with:
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 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
Proficient knowledge and experience with:
Experience in insurance or financial services
Exposure to model deployment and monitoring in production environments
Familiarity with version control (Git) and agile development practices
Working knowledge of R to support understanding and potential migration of legacy models
Thank you for your interest in Insurity! Please understand that due to the volume of applicants we receive, only selected candidates will be contacted.
#J-18808-Ljbffr
We don’t just make bold promises—we deliver results. As the largest cloud‑based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise.
While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award‑winning onboarding experience welcomes and supports you from the moment you accept our offer.
Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you.
#UatInsurity
What’s In It For U
Work Where You Thrive:
Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative
Generous Time Off : Our leadership believes in taking the time you need when you need it.
Day One Health Benefits + Employer‑Matched Retirement Savings : You might think these are table stakes, but we know these matter to you.
More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent.
Award‑Winning Onboarding Program : We set you up from the get‑go to make a significant impact from Day One and follow you through your entire first year.
Real Career Growth Opportunities : We love to promote from within with over 20% of our open roles filled through internal applicants on average.
Mentorship Program:
We support a champion culture and growth mindset by pairing you with experienced, talented leaders to help you grow personally and professionally.
Internal Networking:
Build relationships, network, collaborate, and stay connected with colleagues internally with our one‑of‑a‑kind online Coffee for Two program.
Continuous Learning Opportunities : Own your development with your own LinkedIn Learning and Kaplan licenses.
Employee Referral Bonus : Once you come onboard, give Insurity the biggest compliment you can give by referring someone to work here and earn a referral bonus.
Insurity’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 Proficient knowledge and experience with:
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 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
Proficient knowledge and experience with:
Experience in insurance or financial services
Exposure to model deployment and monitoring in production environments
Familiarity with version control (Git) and agile development practices
Working knowledge of R to support understanding and potential migration of legacy models
Thank you for your interest in Insurity! Please understand that due to the volume of applicants we receive, only selected candidates will be contacted.
#J-18808-Ljbffr