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    Job · 11773057

    Cosentus logo

    Data Scientist Healthcare AI Platform

    Cosentus · Delhi · onsite · Posted 68d ago

    Not disclosed1–3 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Job Description: Data Scientist — Healthcare AI Platform
    Role Overview

    We are looking for a Data Scientist with 1–2 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 Details

    DetailInformationRoleData Scientist — Healthcare AI PlatformExperience1–2 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
    • 1–2 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
    • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
    • Equivalent practical experience will also be considered.
    Success Criteria

    The Data Scientist will be successful if they can:

    • Turn healthcare data into clear, useful 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 Title

    Data 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

    Sourced from foundit

    Skills

    seabornmatplotlibScikit-LearnPythonSQLPandasNumpy

    About Cosentus

    Cosentus logo

    Cosentus

    Internet

    Newport Beach

    GB

    ₹4L PA avg

    Avg at Cosentus

    About

    Innovates in healthcare management by providing solutions for practice management and enhancing revenue cycles using AI technologies.

    Industries

    Internet

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