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Lead Data Scientist
Lead Data ScientistHireginie • Kottayam, IN
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Lead Data Scientist

Lead Data Scientist

Hireginie • Kottayam, IN
1 day ago
Job description

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.
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    Lead Data Scientist • Kottayam, IN

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