Thank you for considering a career at Ensemble Health Partners India!

Ensemble Health Partners - The single solution for a frictionless revenue cycle with the purpose of redefining the possible in healthcare by empowering people to be the difference. Our India Office is an extension of Ensemble’s team and culture designed to augment and enhance our talent and skill base in Revenue Cycle Management in addition to our long-standing presence in technology. Leveraging our platform of services, technology, business intelligence and analytics, our teams are creating and maintaining innovative products and systems to help our revenue cycle operators achieve the most efficient, ideal outcomes for our clients. Our teams are certified in revenue cycle best practices and are supporting end-to-end RCM operations. We are at the forefront of innovation using cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued, and your contributions will make a difference.

The Opportunity:

Job Title: Lead Analytics, Product Innovation
Experience: 6+ Years
Job Location: Hyderabad and Bangalore (Hybrid)

Position Overview:

The Lead Analyst, Product Innovation drives the application of AI-enabled, data-driven capabilities across the Revenue Cycle Management (RCM) organization. This role is primarily focused on traditional machine learning model development—from problem framing and feature engineering through model training, evaluation, and deployment support—to improve decision-making and operational performance.

The Lead Analyst partners with product managers, engineers, data scientists, and operational stakeholders to assess business problems, explore feasibility, build prototypes, and evaluate impact. The role requires strong analytical capability, technical proficiency with Python, SQL, and the Azure ecosystem, and the ability to translate complex findings into actionable recommendations. Experience in LLM/GenAI is beneficial (e.g., prompt engineering, RAG, evaluation). Prior RCM industry experience is helpful. Candidates should demonstrate the ability to learn new domains quickly.

Core Competencies & Responsibilities:

These representative competencies highlight what matters most for success in this role.

Machine Learning Model Development (Critical):

Frames business problems into ML use cases; defines target variables, success metrics, and experimental approach.
Builds, tunes,



and evaluates traditional ML models (e.g., regression, classification, tree-based models, time series) and performs feature engineering, model validation, and performance monitoring.

Applied GenAI & LLM Enablement (Important):

Applies LLM/GenAI capabilities where they add value (e.g., summarization, classification, extraction), including prompt design, RAG basics, and Python-based prototyping.
Evaluates LLM output quality and risk (accuracy, bias, data leakage), and partners with engineering to translate prototypes into production-ready requirements.
Technical Execution (Python + SQL + Azure)
Builds prototypes leveraging Python, Azure OpenAI, SQL, and Azure ecosystem tools.
Partners with engineering and data teams to validate data, refine requirements, and ensure scalable design.

Analytical Problem Solving:

Breaks down complex problems, analyzes root causes, and structures analytical approaches.
Uses quantitative evidence to form recommendations.

Cross‑Functional Collaboration:

Works with operations, product, engineering, and AI teams.
Contributes to requirements, design reviews, and prototype evaluations.

Clear Communication:

Synthesizes 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; validate data quality and lineage.
Train, tune, and evaluate traditional ML models; run experiments, compare approaches, and document results and assumptions.
Partner with engineering and data teams to support deployment patterns (batch/real-time), monitoring, and model performance tracking.
Prepare stakeholder-ready insights, model performance summaries, and recommendations to inform product direction and prioritization.
Ensure responsible use of data and models by following internal governance, privacy, and security standards; support documentation and auditability.
Where relevant, prototype and evaluate GenAI/LLM components (e.g., prompt iterations, RAG inputs, output evaluation) to complement traditional ML solutions.




Support cross‑functional sessions, requirements gathering, and documentation of solution designs.

Required Skills:

Experience:3–5 years in analytics or data science roles with hands-on experience building and evaluating traditional ML models in Python (e.g., scikit-learn) using structured data.
GenAI/LLMs: Familiarity with LLM applications and evaluation is a plus.
Domain: RCM/healthcare experience is helpful; ability to learn workflows and translate them into data/ML problems is expected.
People Leadership: Not required.
Education: Bachelor’s degree or equivalent experience.
Preferred Study Areas: Computer Science, Analytics, or related fields.

Why Choose Ensemble India?

People First, Last + Always

We believe in putting people at the heart of everything. Our culture is rooted in collaboration, growth and innovation—where your contributions are valued, your voice is heard and your potential is nurtured.

A Place to Thrive

Whether you're just starting out or looking to grow your career, Ensemble India is a place where you can do your best work and be your best self. We offer structured career paths, paid professional certifications, tuition reimbursement and mentorship opportunities to help you advance.

Comprehensive Total Rewards

We support the physical, emotional and financial well-being of you and your family. Our Total Rewards package include:

• Healthcare coverage for associates and their immediate families including parents

• Paid time off plans

• Retirement advantages

• Recognition and wellness programs

• Market competitive pay rates

Inclusive Culture

Our organization is deeply committed to fostering a positive environment and culture where we celebrate and reward merit and contribution and where every associate feels valued, included, and empowered to succeed.

Purpose-Driven Impact

We proudly partner with local communities through philanthropic initiatives—from school supply drives to health awareness campaigns—because giving back is part of who we are.

Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories.

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🏢 Ensemble Health Partners, India
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