Data Scientist

Insurity is seeking a Data Scientist for our Predict team, based in Noida, India. This role is crucial for building and maintaining predictive models that support underwriting, claims, and audit use cases within Workers Compensation and Commercial Auto. You will play a key part in scaling our data science capabilities and contributing to innovative solutions in the insurance technology sector.

Responsibilities:

• Develop predictive models using GLM and advanced machine learning techniques including GBM, Random Forest, and XGBoost.
• Perform comprehensive feature engineering, selection, and transformation to enhance model performance.
• Analyze both structured and unstructured datasets to derive actionable insights and inform model development.
• Identify and integrate relevant third-party data sources to enrich existing datasets and improve model accuracy.
• Collaborate closely with product and engineering teams to seamlessly integrate models into production environments.
• Utilize AWS tools such as SageMaker and EC2 for building, training, and deploying machine learning models.
• Clearly document all modeling decisions and effectively communicate findings to both technical and non-technical stakeholders.
• Support ongoing model monitoring and performance tracking to ensure sustained accuracy and effectiveness.

Qualifications:

• 1-3 years of professional experience in data science or predictive modeling.
• Strong understanding of GLM and machine learning algorithms (GBM, XGBoost, Random Forest).
• Proficiency in Python and associated libraries such as scikit-learn, pandas, and NumPy.
• Familiarity with AWS services, particularly SageMaker and EC2.
• Demonstrated experience with feature engineering and model evaluation techniques.
• Ability to translate complex business problems into effective analytical solutions.
• Excellent communication and collaboration skills for cross-functional teamwork.
• Bachelor's or Master's degree in a quantitative field like Statistics, Mathematics, Computer Science, or Data Science.
• Key soft skills include active listening, analytical and critical thinking, self-starter attitude, detail-orientation, collaboration, independent work capability, strong English communication (written and oral), effective time management, sound judgment, and adaptability to handle multiple priorities.

Preferred Qualifications:

• Experience in the insurance or financial services industry.
• Exposure to model deployment and monitoring in production environments.
• Familiarity with version control systems like Git and agile development methodologies.
• Working knowledge of R for potential migration of legacy models.