Data Scientist

Apollo Hospitals; Chennai District; Sur place; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

Apollo Hospitals invites a Data Scientist to design, implement and manage enterprise AI and data science frameworks across finance, marketing and operations, enabling predictive insights and ML models. You will collaborate with business units to translate AI opportunities into deployable solutions, support the AOP FY27 objectives, and champion model governance.

The role emphasizes productionising models with MLOps, ensuring data integrity and regulatory compliance, and publishing model

Qualifications

• Must have 5+ years in applied data science and machine learning.
• Strong Python skills and proficiency with ML libraries.
• Experience with feature engineering, model evaluation and MLOps.
• Exposure to Azure ML, Databricks ML, MLflow or equivalent platforms.
• Strong SQL and data wrangling skills.
• Knowledge of statistical inference, A/B testing and causal analysis.

Responsabilités

• 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 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 and lead-funnel models; detect high-value lost-leads.
• Collaborate with data engineers to curate training datasets and productionise feature pipelines.
• Drive model performance engineering — accuracy, precision, recall, calibration and drift monitoring.
• Productionise models using MLOps — CI/CD, registry, monitoring, rollback.
• Ensure data integrity, privacy and regulatory compliance in every model lifecycle.
• Publish model documentation, model cards and explainability artifacts.
• Contribute to GenAI and agentic AI use cases on the platform roadmap.
• Measure and report business impact of deployed models.

Connaissances

Python

ML libraries

Feature engineering

MLOps

Azure ML

Databricks ML

SQL

Statistics

A/B testing

Causal analysis

GenAI exposure

Outils

MLflow

Vector databases

Description du poste

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 strong 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