About the company
At Huron, weāre redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our clientās challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great workā¦together. Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.
Job Summary
Key Responsibilities:
šAnalyze large-scale healthcare claims and transaction data (charges, payments, denials, write-offs, etc.) šDevelop and implement predictive models, such as XGBoost, Random Forest, or Logistic Regression, for denial prediction, transaction classification, and payment forecasting šApply unsupervised learning techniques (e.g., clustering, MBA) to detect denial root causes, payer patterns, and operational inefficiencies. šIdentify trends and anomalies to support root cause analysis in denials and underpayments šBuild and validate machine learning models likw classification, forecasting, clustering for Denial prediction and pattern recognition, Cash collection forecasting and Write-off root cause analysis šUse tools such as Python (scikit-learn, XGBoost, pandas), SQL, and AWS services like SageMaker, Athena šTranslate business problems into machine learning problems and deliver solutions with clear, measurable outcomes. šCollaborate with business stakeholders to define use cases and translate them into analytical models and interactive insightsRequired
Qualifications & Skills:
š5+ Yrs of experience in analytics and Data science šProficient in Python and SQL for data transformation and model building šHands-on experience with supervised and unsupervised ML techniques, including clustering, classification, and association rule mining šExposure to statistics, hypothesis testing, and model performance evaluation techniques (e.g., ROC-AUC, precision/recall, F1)
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