Data Scientist

Huquo Consulting; Gurugram District; Hybrid; INR 1,500,000 - 3,200,000; Full time

Job summary

Huquo Consulting in India seeks a data scientist to design, develop, and apply ML, AI, and Generative AI solutions across disability insurance, fraud detection, risk scoring, and action recommendations. You will work with stakeholders, actuarial and claims teams to translate problems into analytics use cases.

You will contribute to the analytics lifecycle from problem framing to deployment, build NLP pipelines for medical notes, perform feature engineering, validate models, monitor drift, and

Qualifications

• 4+ years of applied data science experience in healthcare, insurance, disability claims, or other regulated domains.
• Strong ML/AI modeling capabilities, including NLP
• Experience with responsible AI, model governance, and data privacy

Responsibilities

• Design, develop, and implement ML, AI, and Generative AI solutions across the disability insurance value chain (fraud detection, duration modeling, risk scoring, next-best-action).
• Collaborate with business stakeholders, actuarial, claims teams, and senior data scientists to translate problems into analytics use cases.
• Contribute to the analytics lifecycle: problem framing, EDA, feature engineering, model development, validation, deployment support, and monitoring.
• Support problem solving within project teams and share knowledge with analysts and junior members.
• Develop experimentation frameworks and reusable assets to improve model quality and AI adoption.
• Follow responsible AI principles, governance standards, data privacy requirements, and regulatory guidelines.
• Design 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 on structured and unstructured claims data; conduct validation, bias detection, and explainability analysis.
• Support deployment, monitoring, retraining, and drift detection; collaborate with business and claims teams to translate objectives into ML use cases.

Job description

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.