The Apollo Hospitals Family

Set-up in 1983 by Dr. Prathap C. Reddy, renowned as the architect of modern healthcare in India. As the nations first corporate hospital, Apollo Hospitals is acclaimed for pioneering the private healthcare revolution in the country.

Apollo Hospitals has emerged as Asia’s foremost integrated healthcare services provider and has a robust presence across the healthcare ecosystem, including Hospitals, Pharmacies, Primary Care & Diagnostic Clinics and several retail health models. The cornerstones of Apollo’s legacy are its unstinting focus on clinical excellence, affordable costs, modern technology and forward-looking research & academics.

Role Description

The Data Scientist designs, implements and manages enterprise AI and data science frameworks at Apollo, enabling advanced analytics, machine learning models and predictive insights across non-clinical domains such as finance, marketing and operations. The role drives AI-infused business outcomes articulated in the AOP FY27, including retention AI, medical tourism engine, SGE optimisation, revenue integrity, propensity-to-pay and contact centre copilot.

Detailed Job Responsibility & Accountabilities

- Design, build and deploy machine learning models for finance, marketing and operational use cases.
- Partner with business functions to identify AI opportunities aligned to the AOP FY27 plan and translate them into model specifications.
- Lead retention AI models analysing EMR data to identify drop-out risk for chronic disease patients.
- Build propensity-to-pay models, lead-funnel optimisation models and high-value lost-lead detection.
- Collaborate with data engineers to curate training datasets and productionise feature pipelines.




- Drive model performance engineering — accuracy, precision, recall, calibration, fairness and drift monitoring.
- Productionise models using MLOps practices — CI/CD for models, registry, monitoring and rollback.
- Ensure data integrity, privacy (DPDP) and regulatory compliance in every model lifecycle.
- Publish model documentation, model cards and explainability artifacts.
- Contribute to GenAI and agentic AI use cases as they emerge in the platform roadmap.
- Measure and report business impact of deployed models.

Desired Skills & Competencies

- Must have 5+ years in applied data science and machine learning.
- Must have strong Python skills and proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow).
- Must have experience with feature engineering, model evaluation and MLOps.
- Must have exposure to Azure ML, Databricks ML, MLflow or equivalent platforms.
- Must have solid SQL and data wrangling skills.
- Must have working knowledge of statistical inference, A/B testing and causal analysis.
- Preferred exposure to GenAI, LLMs, RAG, vector databases and agentic frameworks.
- Preferred healthcare, marketing analytics or finance domain exposure.

Job Performance Parameters

- Model delivery and adoption (25%)
- Model performance — accuracy, precision, recall (25%)
- Production readiness — MLOps maturity (20%)
- Stability and monitoring (15%)
- Data integrity and compliance (15%)
- Business impact of deployed models

Managerial and Behavioral Competencies

- Analytical and experimental rigour
- Effective Communication with business users
- Team Spirit
- Long term effective decision making
- Continuous learning on evolving AI landscape

📌 Data Scientist (Chennai)
🏢 Apollo Hospitals
📍 Chennai