Data Scientist

Oceanwide (an Insurity company); Dadri; On-site; INR 900,000 - 1,400,000; Full time

Benefits offered by this job

Day One Health Benefits

Employer-Matched Retirement Savings

Mentorship Program

Award-Winning Onboarding

Job summary

Insurity in India is seeking a Data Scientist to develop, deploy, and monitor predictive models supporting underwriting, claims, and audit use cases. The role focuses on GLM and ML methods, feature engineering, and collaboration with cross-functional teams.

The ideal candidate has 1-3 years in data science, Python experience with scikit-learn, and familiarity with AWS SageMaker and EC2. A quantitative degree is required and strong communication is essential.

Qualifications

• 1-3 years of data science or predictive modeling experience.
• Strong understanding of GLM and ML algorithms (GBM, XGBoost, Random Forest).
• Experience with feature engineering and model evaluation techniques.

Responsibilities

• Develop predictive models using GLM and ML techniques such as GBM, Random Forest, and XGBoost.
• Collaborate with product and engineering teams to integrate models into production environments.
• Document modeling decisions and communicate findings to technical and non-technical stakeholders.
• Support model monitoring and performance tracking over time.

Skills

Data science experience

GLM/ML algorithms

Python (scikit-learn)

AWS SageMaker

EC2

Git

R (legacy models)

Education

Bachelor's or Master's in quantitative field

Tools

AWS SageMaker

EC2

Git

R

Job description

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.

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 25% 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.
• Insurity Podcasts: Explore podcasts from our Learning & Development team for deeper insight into Insurity products, company innovation, and the business as a whole.
• 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

• 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.