Data Scientist – Claims Risk Analyst
- Location
- Dubai, Dubai, United Arab Emirates
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview: Aster DM Healthcare is seeking a highly analytical, detail-oriented, and hands-on Data Scientist – Claims Risk Analyst to join the team in Dubai, UAE. The role focuses on driving advanced analytics, predictive modelling, machine learning, and automation initiatives designed to enhance clinical, operational, and financial performance. We are particularly interested in candidates who can independently develop analytical solutions and translate complex data into measurable business outcomes. • Key Responsibilities & Daily Duties: - Risk Analytics: Develop predictive models to identify claims anomalies, coding inconsistencies, utilization outliers, and potential financial risks. - Claims Analytics: Analyze medical claims, utilization trends, cost drivers, coding patterns, rejections, and reimbursement performance. - Predictive Modeling: Build models for utilization forecasting, cost prediction, revenue optimization, and claims performance. - Clinical & Operational Analytics: Conduct physician benchmarking, clinical utilization analysis, performance monitoring, and identify operational optimization opportunities. - Machine Learning & Automation: Develop ML-driven solutions, anomaly detection models, automated analytical workflows, and intelligent dashboards. • Required Qualifications, Skills & Experience: - Technical Skills: Strong proficiency in Python, SQL, Power BI, statistical modeling, machine learning, and large-scale data analysis. - Preferred Experience: Hands-on background in healthcare, medical insurance, claims analytics, Fraud, Waste & Abuse (FWA), or revenue cycle management. - Demonstrated capability to independently design analytical solutions and turn complex datasets into actionable business results. • Working Hours, Shifts & Location Details: - Location: Dubai, United Arab Emirates. - Work Mode: Onsite / standard organizational schedule. • Compensation & Benefits: - Standard company benefits as applicable per organization policy. • Application Instructions: - Interested candidates are invited to submit their professional profiles directly via the designated recruitment email.