Data Engineer

We are seeking a highly skilled Python Programmer and Insurance Analytics Lead to design, develop, automate, and operationalize predictive model development pipelines for Property & Casualty (P&C) Insurance. The role involves building reusable Python frameworks, feature engineering pipelines, MLOps solutions, automated model deployment and monitoring, and scalable analytics platforms supporting pricing, underwriting, claims, fraud detection, retention, and risk analytics.

Key Responsibilities

Design, develop, and maintain scalable Python frameworks and automated predictive modeling pipelines for P&C insurance.

Build robust feature engineering pipelines and implement MLOps practices for model deployment, monitoring, and lifecycle management.

Drive insurance rating modernization by transforming legacy rating engines and integrating predictive models into pricing platforms.

Collaborate with Data Scientists, Actuaries, Cloud Engineers, and business stakeholders to deliver scalable insurance analytics solutions.

Lead ETL development and optimization initiatives across multiple teams, improving data integration, quality, and processing efficiency.

Drive strategic initiatives to enhance ETL practices, establish best practices, and develop long-term technology roadmaps.

Lead and mentor a team of 5+ professionals, ensuring effective delivery and technical excellence.

Represent the ETL team in executive-level meetings and collaborate with cross-functional stakeholders on strategic initiatives.

Support analytics solutions across pricing, underwriting, claims, fraud detection, customer retention, and risk management.

Required Skills & Qualifications

9–12 years of experience in Python development, ETL, data engineering, or data management.

Strong hands-on expertise in Python programming, including Pandas, NumPy, object-oriented programming (OOP), classes, and coding best practices.

Experience developing automated data pipelines, ETL frameworks, and scalable data processing solutions.

Working knowledge of AWS cloud services, particularly Amazon S3 and data integration.

Strong SQL skills and experience with database integrations and data processing.

Experience in Property & Casualty (P&C) insurance analytics, insurance pricing, rating engines, underwriting, claims, or risk analytics.

Understanding of predictive modeling pipelines, feature engineering, and MLOps practices.

Experience leading teams of 5+ professionals and driving cross-functional technical initiatives.

Strong stakeholder management, communication, and strategic planning skills.

Preferred Qualifications

Experience in insurance rating modernization and integrating predictive models into pricing platforms.

Exposure to model deployment automation, monitoring, and scalable analytics platforms.

Experience collaborating with actuarial, data science, and cloud engineering teams.

A bachelor's or master’s degree in computer science, Data Science, Information Technology, or a related field.

Location & Travel

Locations

New Delhi (Gurugram), Bangalore, and Pune.

Candidates may be required to travel to Gurugram on a quarterly basis, depending on client requirements.