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Senior Data Scientist AI & Healthcare Analytics
Experience/Grade Level: EL3
Positions - 4
Location: Bangalore
Requisition ID: 25-005098 (UHGJP00112813 1 Position) and 25-005772 (UHGJP00114413 3 Positions)
Earliest Start Date February'2026
Employment Type: Contractor
Job Summary
We are seeking an accomplished Senior Data Scientist with proven expertise in advanced AI/ML, Generative AI, and healthcare or health insurance analytics. The ideal candidate will drive innovation and strategic value by leading teams to deliver scalable, secure, and responsible AI solutions for healthcare data. This role requires hands-on technical leadership, deep domain knowledge, and the ability to influence business outcomes across the organization.
Key Responsibilities
Leadership & Strategy
- Lead and mentor a team of data scientists and AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
- Define and drive the AI/ML roadmap for healthcare analytics, aligning with organizational goals and regulatory requirements.
- Partner with business stakeholders, product managers, and technology leaders to translate complex healthcare challenges into actionable AI solutions.
- Oversee project delivery, and performance management for the data science team.
Healthcare/Health Insurance Domain Expertise
- Apply deep understanding of healthcare and health insurance data, including claims, clinical, provider, and member datasets.
- Ensure compliance with healthcare regulations (HIPAA, HITECH, etc.) and data governance standards.
Advanced AI/ML & GenAI Engineering
- Architect and implement machine learning, deep learning, and generative AI solutions using frameworks such as LangChain, LangGraph, HuggingFace, and LLMs (GPT, Gemini, LLaMA).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines, multi-agentic workflows, and prompt-based learning systems for healthcare use cases.
- Lead the adoption of Responsible AI principlesfairness, transparency, explainability, and securityin all model development and deployment.
Cloud-Native AI Development & MLOps
- Design and manage scalable AI/ML solutions on cloud platforms (Azure, AWS, GCP), leveraging services like Databricks, ML Studio, Bedrock, SageMaker, Vertex AI.
- Integrate models with enterprise systems using REST APIs, SDKs, and orchestration tools.
- Oversee CI/CD pipelines, model monitoring, drift analysis, and containerization (Docker, MLFlow).
Collaboration & Stakeholder Management
- Engage with cross-functional teams to deliver business impact through data-driven insights and AI-powered products.
- Manage vendor relationships and external data partnerships.
- Champion best practices in agile development, code management (GitHub), and documentation.
Required Qualifications
- Mandatory experience with Health Insurance Analytics and deep domain expertise
- 7+ years of experience in data science, AI, and ML-Ops engineering roles, with at least 3 years in healthcare or health insurance analytics.
- Demonstrated leadership experience managing data science or AI teams.
- Deep expertise in Python, PySpark, SQL, and big data technologies (Hadoop, Spark).
- Hands-on experience with GenAI frameworks (LangChain, HuggingFace, LLMs) and cloud-native AI services (Azure, AWS, GCP).
- Strong understanding of healthcare data, regulatory compliance, and domain-specific modeling.
- Proficiency in MLOps, CI/CD, GitHub, and agile methodologies.
- Excellent communication, stakeholder management, and problem-solving skills.
Preferred Qualifications
- Knowledge of advanced deep learning architectures (CNNs, Autoencoders) and NLP (Transformers, RNNs).
- Familiarity with healthcare interoperability standards (HL7, FHIR).
- Exposure to reporting tools and dashboard creation.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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