Lead Data Scientist

About the job

Job Title : Lead Data Scientist Education : B.Tech (Degree in Data Science Plus) Experience : 8 - 10 Years Location : Bangalore About the Role : We are developing the next-generation automated health insurance claims processing platform, leveraging AI / ML, deep learning, NLP, OCR, and LLM-powered intelligence. As a Lead Data Scientist, you will drive the design, development, deployment, and optimisation of AI models that power large-scale claims decisioning across multiple regions. This is a high-impact leadership role where you will work independently, set technical direction, mentor a diverse team, and ensure reliable production performance of mission-critical models. Roles & Responsibilities : • Design, build, deploy, and monitor ML models for health-claims automation. • Own full ML pipelines : data ingestion, modelling, deployment, monitoring, retraining. • Work with NLP, OCR, Transformers, LLMs, and Generative AI. • Optimise models for accuracy, latency, and scalability. • Implement MLOps, CI / CD, and production monitoring. • Collaborate with product and engineering teams; mentor junior members. Requirements : • An engineering degree is mandatory. • 8+ years of experience in data science or machine learning, with 3–5 years in a leadership role. • Proven experience building and deploying ML models in production at scale. • Strong foundation in statistics, machine learning fundamentals, optimisation, and deep learning. • Expertise in NLP, transformers, LLM fine-tuning, embeddings, computer vision, OCR, time-series modelling, and predictive modelling. • Advanced proficiency in Python, SQL, ML frameworks, and cloud platforms. • Demonstrated success leading teams and delivering enterprise-scale AI systems. • Experience in health-insurance or health-claims processing ecosystems. • Understanding of regulatory and compliance constraints in healthcare data. • Knowledge of healthcare data standards such as HL7, FHIR, ICD, CPT, and SNOMED. • Experience with MLOps tools including MLflow, Kubeflow, Airflow, Docker, and CI / CD pipelines.

Requirements

• AI ML automation
• Leadership
• Data science
• NLP

Qualifications

• B.Tech

Preferred Technologies

• AI ML automation
• Leadership
• Data science
• NLP

About the company

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