EXPERIENCE: 10–18 years (minimum of 5 years in insurance domain)
WORK MODE: Remote

Role Overview
We are seeking a Senior Data Scientist – Insurance domain to drive advanced analytics initiatives across the client's insurance portfolios. This is a hands-on IC role requiring deep insurance domain expertise, robust technical skills in machine learning, and the ability to design, deploy, and monitor predictive models that deliver measurable business value.

Key Responsibilities
Insurance Analytics: Build and deploy ML models for motor, health, family, and other insurance lines, focusing on risk scoring, claims prediction, fraud detection, and customer segmentation.
Marketing Analytics: Develop predictive models for customer acquisition, retention, and cross-sell/upsell strategies; optimize loyalty and campaign ROI.
Model Development & Deployment:
Design end-to-end pipelines in Python (scikit-learn, TensorFlow, PyTorch).
Implement MLOps frameworks for deployment, monitoring, and retraining.
Ensure model explainability (SHAP, LIME) for regulatory and business transparency.




Risk & Compliance: Integrate models with insurance workflows ensuring compliance with PCI DSS, AML/KYC, and scheme rules.
Data Engineering: Work with structured/unstructured data, build scalable pipelines, and ensure data quality across multiple sources.
Monitoring & Governance: Establish dashboards for model drift, performance monitoring, and bias detection; ensure continuous improvement.
Stakeholder Engagement: Collaborate with actuarial, underwriting, claims, marketing, and IT teams to translate business needs into analytics solutions.
Leadership: Mentor junior data scientists, drive agile delivery, and present insights to senior management (HLIs – High-Level Insights).

Qualifications & Skills
Experience: 10–18 years in data science/analytics, with at least 5+ years in insurance domain (motor, health, family, risk analytics).
Technical Skills: Python, SQL, ML frameworks (TensorFlow, PyTorch, scikit

📌 Senior Data Scientist (India)
🏢 Hyper Lychee Labs
📍 India