About the Role
We are building the next-generation automated health-insurance claims processing platform, leveraging AI/ML, deep learning, NLP, OCR, and LLM powered intelligence. As a Data Scientist, you will contribute to the design, development, deployment, and optimization of AI models that power large-scale claims decisioning across multiple regions. This is a hands-on technical role where you will work alongside senior data scientists, gain exposure to end-to-end ML pipelines, and grow your expertise in a fast-paced, mission-critical environment.

Key Responsibilities
Model Development, Deployment & Production Support
• Contribute to the development, training, and validation of ML models used in automated health-claims processing.
• Assist in building and maintaining end-to-end machine learning pipelines including data ingestion, feature engineering, and model evaluation.
• Experiment with classical ML models (tree-based, linear, clustering) and modern approaches NLP, transformers) under senior guidance.




• Support monitoring of model performance and data quality in production environments. Implement and test model improvements based on feedback and performance metrics.

Build Effective, Scalable & High-Accuracy Models
• Optimize models for accuracy, latency, memory footprint, and infrastructure cost.
• Implement model compression, distillation, and quantization when required to meet SLAs.
• Ensure solutions perform reliably across heterogeneous real-world datasets and regions. Implement

End-to-End ML Pipelines
• Implement automated ML pipelines covering structured, unstructured, and document based data. Build feature engineering, model training, validation, and retraining workflows.
• Implement CI/CD for ML, model versioning, and automated retraining strategies.
• Work closely with engineering teams to operationalize ML using MLOps best practices.

Experience in AI Techniques
• Hands-on experience with classical ML models including tree-based models, linear mo

📌 Data Scientist (Bengaluru)
🏢 IHX - A Perfios
📍 Bengaluru