Data Scientist
Chubb Limited (company site, opens in a new tab)2–4 yrsBengaluruHybridDirect career pageEst. 10–18 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement machine learning and statistical models (GLM, regression, classification, clustering) to support pricing and risk assessment in Property & Casualty insurance.
- Perform exploratory data analysis, data validation, and preprocessing on large complex datasets to generate business insights.
- Collaborate with global business stakeholders to deliver analytics solutions and present findings, contributing to knowledge-sharing and mentoring within the data science team.
Minimum Requirements
- 2-4 years professional experience in Python for data analysis, modeling, and production development.
- Strong proficiency in Python (including OOP, design patterns) and experience with machine learning libraries such as scikit-learn and XGBoost.
- Familiarity with Agile environments, Jira, and production-quality code development practices.
- Work Experience Required: 2-4 years relevant data science experience in analytics/modeling.
Ideal Candidate Profile
- Experienced in handling insurance data, especially Property & Casualty product lines and related pricing models (not mandatory but preferred).
- Ability to work with both technical and non-technical stakeholders globally, managing deliverables and timelines.
- Comfortable working in an Agile setup with emphasis on quality production code and knowledge sharing within teams.