Role & responsibilities

Role Overview:
Design, develop, and implement Machine Learning, AI, and Generative AI solutions that support measurable business outcomes across the disability insurance value chain, including fraud detection, duration modelling, risk scoring, and next-best-action recommendations.
Work closely with business stakeholders, actuarial teams, claims teams, and senior data scientists to understand business problems and translate them into practical analytics and ML use cases.
Contribute across the analytics lifecycle, including problem framing, exploratory data analysis, feature engineering, model development, validation, deployment support, and performance monitoring.
Support technical problem solving within project teams and share knowledge with analysts and junior team members where required.
Assist in developing experimentation frameworks, analytical approaches, and reusable assets that improve model quality and accelerate AI adoption.
Follow responsible AI principles, model governance standards, data privacy requirements,



and regulatory guidelines while developing analytics solutions.
Design, develop, and optimize ML models for claim segmentation, risk scoring, and outcome prediction
Build NLP pipelines for medical records, claim notes, and unstructured documents
Perform feature engineering using structured and unstructured claims data
Conduct model validation, performance tuning, bias detection, and explainability analysis
Support model deployment, monitoring, retraining, and drift detection
Collaborate with business and actuarial & claims teams to translate objectives into ML use cases
The candidate will be part of an agile analytics team that combines diverse skills, backgrounds, and perspectives to solve complex business problems.
A suitable candidate should have 4+ years of applied data science experience, preferably with exposure to healthcare, insurance, disability claims, or other regulated domains.

Preferred candidate profile

📌 Data Scientist Gurugram
🏢 Huquo Consulting
📍 Gurugram