Lead Analytics Data Science Product Ination

Job Description

As a Lead Analyst, Product Innovation at Ensemble Health Partners India, you will be driving the application of AI-enabled, data-driven capabilities across the Revenue Cycle Management (RCM) organization. Your primary focus will be on traditional machine learning model development, from problem framing to model training and deployment support, to enhance decision-making and operational performance.**Core Competencies & Responsibilities:**- **Machine Learning Model Development (Critical)** - Frame business problems into ML use cases, define target variables, success metrics, and experimental approaches. - Build, tune, and evaluate traditional ML models such as regression, classification, tree-based models, and perform feature engineering, model validation, and performance monitoring.- **Applied GenAI & LLM Enablement (Important)** - Apply LLM/GenAI capabilities where they add value, including prompt design, RAG basics, and Python-based prototyping. - Evaluate LLM output quality and risk, and collaborate with engineering to translate prototypes into production-ready requirements.- **Technical Execution (Python SQL Azure)** - Build prototypes using Python, Azure OpenAI, SQL, and Azure ecosystem tools. - Collaborate with engineering and data teams to validate data, refine requirements, and ensure scalable design.- **Analytical Problem Solving** - Break down complex problems, analyze root causes, and structure analytical approaches. - Utilize quantitative evidence to form recommendations.- **Cross-Functional Collaboration** - Work with operations, product, engineering, and AI teams. - Contribute to requirements, design reviews, and prototype evaluations.- **Clear Communication** - Synthesize complex findings into clear insights, summaries, and stakeholder-ready outputs.**Essential Job Functions:**- Translate business problems into ML use cases, define target outcomes, evaluation metrics, and baselines.- Perform data exploration, feature engineering, and dataset creation using Python and SQL.- Train, tune, and evaluate traditional ML models and document results and assumptions.- Partner with engineering and data teams to support deployment patterns, monitoring, and model performance tracking.- Prepare stakeholder-ready insights, model performance summaries, and recommendations.- Ensure responsible use of data and models by following internal governance, privacy, and security standards.- Prototype and evaluate GenAI/LLM components to complement traditional ML solutions.- Support cross-functional sessions, requirements gathering, and documentation of solution designs.**Required Skills:**- Experience: 35 years in analytics or data science roles with hands-on experience building and evaluating traditional ML models in Python.- GenAI/LLMs: Familiarity with LLM applications and evaluation is a plus.- Domain: RCM/healthcare experience is helpful.**Why Join Us **- Work on real-world healthcare and technology challenges enabled by emerging technologies.- Be part of a fast-growing Global Capability Center with transparent global ownership and impact.- Thrive in a culture that values results, trust, accountability, and continuous improvement.- Access structured learning, certifications, and long-term career growth opportunities.- Collaborate with high-caliber technology and business leaders on meaningful initiatives.**Benefits:**- Comprehensive health insurance coverage for associate, children (up to 2), and parents.- Accidental insurance coverage.- Professional development and certification reimbursement programs.- Statutory benefits including maternity and paternity support.- Employee experiences such as welcome kits, company swag, and work-anniversary recognition.This is a unique opportunity to be part of a team that is transforming healthcare operations through innovation and technology. As a Lead Analyst, Product Innovation at Ensemble Health Partners India, you will be driving the application of AI-enabled, data-driven capabilities across the Revenue Cycle Management (RCM) organization. Your primary focus will be on traditional machine learning model development, from problem framing to model training and deployment support, to enhance decision-making and operational performance.**Core Competencies & Responsibilities:**- **Machine Learning Model Development (Critical)** - Frame business problems into ML use cases, define target variables, success metrics, and experimental approaches. - Build, tune, and evaluate traditional ML models such as regression, classification, tree-based models, and perform feature engineering, model validation, and performance monitoring.- **Applied GenAI & LLM Enablement (Important)** - Apply LLM/GenAI capabilities where they add value, including prompt design, RAG basics, and Python-based prototyping. - Evaluate LLM output quality and risk, and collaborate with engineering to translate prototypes into produc

Keyskills :
Machine LearningPythonSQLAzureData ScienceFeature EngineeringModel TrainingModel DeploymentAIenabled capabilitiesGenAILLMRAG basicsCrossFunctional CollaborationClear Communication