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Lead Data Scientist

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.


Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

Lead Data Scientist – Agentic AI & Advanced Machine Learning

Experience : 6–7 Years

Location :  Hyderabad 

Job Summary

We are looking for a highly skilled Lead Data Scientist with strong expertise in Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, RAG architectures, Azure AI ecosystem, and Statistical Modeling. The ideal candidate will lead the design and deployment of enterprise AI solutions, build advanced AI agents, develop LLM-powered applications, and drive data science initiatives from ideation to production.

This role requires a balance of hands-on technical expertise, problem-solving ability, and leadership in delivering business-impacting AI solutions.

Key Responsibilities

Agentic AI & Generative AI

  • Design and develop AI agents and multi-agent systems using:
    • LangGraph
    • Semantic Kernel
    • LangChain
  • Develop Machine learning models, MMM models, and good in Analytical thoughts
  • Very good at SQL coding as well, Knowledge in Snowflake is add on. 
  • Implement tool calling, reasoning workflows, memory management, and agent orchestration.
  • Evaluate and optimize agent performance, grounding, accuracy, and reliability.

Retrieval-Augmented Generation (RAG)

  • Design and implement enterprise-grade RAG solutions.
  • Build knowledge retrieval pipelines using:
    • Azure AI Search
    • Vector Databases
    • Embedding Models
  • Optimize chunking, indexing, retrieval, reranking, and prompt engineering strategies.
  • Experience with Graph RAG and Agentic RAG is preferred.

Machine Learning & Deep Learning

  • Can write production grade SQL 
  • Build and deploy models for:
    • Classification
    • Regression
    • Forecasting
    • Recommendation Systems
    • Anomaly Detection
  • Develop deep learning solutions using:
    • PyTorch
    • TensorFlow
    • Keras
  • Perform feature engineering, model tuning, validation, and performance optimization.

NLP & LLMs

  • Develop NLP solutions involving:
    • Text Classification
    • Entity Extraction
    • Semantic Search
    • Conversational AI
    • Sentiment Analysis

Statistics & Analytics

Strong understanding of:

  • Probability & Statistics
  • Hypothesis Testing
  • A/B Testing
  • Regression Analysis
  • Bayesian Statistics
  • Time Series Forecasting
  • Experimental Design
  • Statistical Inference
  • Feature Selection Techniques

MLOps / LLMOps

  • Build and deploy scalable AI solutions.
  • Create CI/CD pipelines for ML models.
  • Implement model monitoring, evaluation, and governance.
  • Experience with:
    • MLflow
    • Docker
    • Kubernetes
    • GitHub Actions
    • Azure DevOps

Experience

  • 6–7 years of experience in Data Science and Machine Learning.
  • Hands on SQL pipelines for deployment 
  • 3+ years of experience working on Generative AI solutions.
  • Hands-on experience building RAG and LLM-based applications.
  • Experience deploying AI solutions on Azure Cloud.
  • Experience mentoring junior data scientists and leading technical initiatives.

Nice to Have

  • Knowledge of GraphRAG.
  • Fine-tuning open-source LLMs.
  • Knowledge of Responsible AI and AI Governance.
  • Azure AI Engineer Certification.
  • Experience building enterprise AI Copilots.

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

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