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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist title, metro location, and broad ML/Python requirements increase competition.
Core Python and ML skills are transferable, but insurance pricing and domain knowledge increase industry specificity.
Explicit 2-4 year requirement plus mandatory Python and production ML skills create moderate filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy machine learning and statistical models to support pricing and risk assessment decisions in Property & Casualty insurance.
Perform exploratory data analysis, data validation, and preprocessing on complex datasets to generate actionable insights.
Collaborate with global business stakeholders and manage analytics deliverables, translating findings into clear business insights for technical and non-technical audiences.
Minimum Requirements
2-4 years professional experience in Python for data analysis, modeling, and production development.
Strong proficiency in Python programming, OOP, design patterns, and environment management.
Experience with machine learning libraries such as scikit-learn and XGBoost, and techniques including regression, classification, and clustering.
Work Experience Required: 2-4 years; Location: Bangalore, India; Employment Type: Full-time.
Ideal Candidate Profile
Experienced in building and deploying machine learning models for business decision-making, preferably in insurance or related analytics domains.
Comfortable working in Agile environments, managing multiple projects, and collaborating with global stakeholders.
Familiar with advanced analytics workflows including code versioning (Git), data visualization, and documenting progress with tools like Jira.