About the company
At Huron, we’re redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client’s 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 work…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:
📍Analyze large-scale healthcare claims and transaction data (charges, payments, denials, write-offs, etc.) 📍Develop and implement predictive models, such as XGBoost, Random Forest, or Logistic Regression, for denial prediction, transaction classification, and payment forecasting 📍Apply unsupervised learning techniques (e.g., clustering, MBA) to detect denial root causes, payer patterns, and operational inefficiencies. 📍Identify trends and anomalies to support root cause analysis in denials and underpayments 📍Build and validate machine learning models likw classification, forecasting, clustering for Denial prediction and pattern recognition, Cash collection forecasting and Write-off root cause analysis 📍Use tools such as Python (scikit-learn, XGBoost, pandas), SQL, and AWS services like SageMaker, Athena 📍Translate business problems into machine learning problems and deliver solutions with clear, measurable outcomes. 📍Collaborate with business stakeholders to define use cases and translate them into analytical models and interactive insightsRequired
Qualifications & Skills:
📍5+ Yrs of experience in analytics and Data science 📍Proficient in Python and SQL for data transformation and model building 📍Hands-on experience with supervised and unsupervised ML techniques, including clustering, classification, and association rule mining 📍Exposure to statistics, hypothesis testing, and model performance evaluation techniques (e.g., ROC-AUC, precision/recall, F1)
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