Data Scientist

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 XGBoostPerform feature engineering, selection, and transformation to optimize model performanceAnalyze structured and unstructured datasets to uncover insights and support model developmentIndentify and integrate third-party data sources to augment existing datasets and improve model accuracyCollaborate with product and engineering teams to integrate models into production environmentsUse AWS tools such as SageMaker and EC2 to build, train, and deploy modelsDocument modeling decisions and communicate findings to technical and non-technical stakeholdersSupport model monitoring and performance tracking over time Who We’re Looking For:2-5 years of experience in data science or predictive modelingStrong 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 EC2Experience with feature engineering and model evaluation techniquesAbility to translate business problems into analytical solutionsStrong communication skills and ability to work collaboratively in a cross-functional teamBachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science)Active listeningAnalytical and critical thinkingSelf-starter and quick learnerDetail-orientedAbility to collaborate and work independently Written and oral English communicationTime management including work planning, prioritization, and organization Sound judgementAbility to handle multiple priorities or tasksFlexible and adaptable