Data Scientist Healthcare AI Platform (New Delhi)

: Data Scientist Healthcare AI Platform Role OverviewWe are looking for a Data Scientist with 12 years of experience to support the development of data-driven and AI-powered features for a healthcare technology platform. The role involves working with healthcare, claims, payments, denial, operational, and clinical-adjacent data to build insights, reports, predictive models, and AI-assisted workflows. The ideal candidate should have strong analytical skills, good Python and SQL knowledge, and an interest in applying AI/ML to real healthcare business problems. Employment DetailsDetailInformationRoleData Scientist Healthcare AI PlatformExperience12 years Working Days 6 days per week Salary Bracket 50,000 70,000 per month Salary Basis Depending on skills, experience, and interview performance Key Responsibilities - Analyze healthcare datasets to identify trends, patterns, risks, and operational improvement opportunities. - Work with claims, denial, payment, EOB, ERA, eligibility, and revenue cycle data. - Build dashboards, reports, and data summaries for business and product teams. - Assist in developing predictive models for denial risk, recovery probability, payment delays, underpayments, and workflow prioritization. - Clean, validate, and prepare structured and semi-structured healthcare data for analysis. - Support AI/ML model development, testing, evaluation, and documentation. - Work with engineers to help convert data science outputs into production-ready features. - Perform exploratory data analysis and communicate findings clearly. - Create reusable SQL queries, Python notebooks, and analysis scripts. - Monitor model outputs and help identify data quality or performance issues. - Collaborate with product, engineering, operations, and healthcare domain teams. Required Skills and Experience - 12 years of experience in data science, analytics, machine learning, or a related role. - Strong knowledge of Python for data analysis. - Good SQL skills for querying and analyzing relational data. - Experience with libraries such as Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, or similar. - Basic understanding of machine learning concepts such as classification, regression, clustering, model evaluation, and feature engineering. - Ability to clean, transform, and validate large datasets. - Strong analytical and problem-solving skills. - Ability to explain technical findings in simple business language. - Basic understanding of APIs, data pipelines, and production data workflows. - Interest in healthcare AI, healthcare analytics, or revenue cycle management. Preferred Skills - Exposure to healthcare data such as claims, denials, EOBs, ERAs, ICD, CPT, CARC/RARC, or payer data. - Experience with healthcare revenue cycle management or insurance workflows. - Familiarity with LLMs, prompt engineering, embeddings, or AI-assisted analytics. - Exposure to cloud platforms such as AWS, Azure, GCP, or Supabase. - Experience with dashboards or BI tools such as Power BI, Tableau, Metabase, or Looker. - Basic understanding of data privacy, healthcare compliance, and secure data handling. - Experience with Git, Jupyter notebooks, and collaborative engineering workflows. Qualifications - Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field. - Equivalent practical experience will also be considered. Success CriteriaThe Data Scientist will be successful if they can: - Turn healthcare data into clear, practical insights. - Build accurate and explainable analysis for business and product decisions. - Support predictive AI features with clean data and reliable evaluation. - Work effectively with engineering teams to move analysis toward production. - Communicate findings clearly to both technical and non-technical stakeholders. Suggested TitleData Scientist Healthcare AI Platform Alternative titles - Junior Data Scientist Healthcare AI - Data Scientist Healthcare Analytics - Data Scientist RCM AI Platform - Associate Data Scientist Healthcare Technology .