Senior Data Scientist

Our client is a leader in AI-driven revenue cycle management, transforming medical coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel and Together Fund.

Join us as we scale a cloud-native platform that runs transformer-based Large Language Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at lightning speed, deliver reimbursement insights with sub-second latency and >99 % accuracy, and tackle the deep-domain challenges that make clinical AI one of the hardest—and most rewarding—problems in tech.

Data Scientist - Job Overview

We are looking for a Senior Data Scientist who can design, build, and optimize advanced AI/ML models for healthcare and revenue cycle automation. You will work closely with product and engineering teams to translate domain challenges into production-grade solutions. This is a hands-on role for someone passionate about applied machine learning, generative AI, and large-scale data systems, with opportunities to mentor junior team members.

Key Responsibilities:

● Build, fine-tune, and deploy ML/AI models (LLMs, GenAI, NLP, Computer Vision) for healthcare and revenue cycle applications.

● Conduct research on state-of-the-art algorithms and integrate them into production systems.

● Design data pipelines and workflows for model training, evaluation, and deployment.

● Collaborate with backend engineers to embed models into customer-facing applications.

● Analyze structured and unstructured healthcare data to extract meaningful insights.

● Perform error analysis, A/B testing, and continuous model improvements.

● Mentor junior data scientists/ML engineers and contribute to technical reviews.

● Stay up to date with latest advances in AI/ML, especially in NLP, LLMs, and applied healthcare AI.

Requirements

● 3–7 years of experience in Data Science, Machine Learning, or Applied AI roles.

● Strong hands-on expertise in Python, PyTorch, Numpy, Pandas, Scikit-learn, REST APIs.

● Deep understanding of NLP, Large Language Models, or GenAI frameworks.

● Experience with healthcare/clinical datasets is a strong plus.

● Familiarity with building and scaling data pipelines and model deployment.

● Experience with cloud platforms (AWS/GCP/Azure).

● Solid grounding in statistics, ML algorithms, and optimization techniques.

● Strong communication skills with the ability to explain technical solutions clearly.

Job Types: Full-time, Permanent

Pay: ₹3,500,000.00 - ₹4,500,000.00 per year

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Experience:

• Data science: 5 years (Required)

Work Location: In person