Our Client: Founded in 2020, our client is an industry-leading, first-of-its-kind in India, digital healthcare data platform and exchange, infused with AI/ML capabilities, delivering solutions to stakeholders in all segments of the healthcare sector.
Job Title: Lead Data Scientist
Education: Btech (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.
About Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.
Didn’t find the job appropriate? Report this Job
