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  3. Fraud detection model for healthcare claims

Fraud detection model for healthcare claims

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Project description

Aurelia Health processes thousands of claims daily and we want to flag suspicious patterns earlier. We need a data scientist to build a fraud/anomaly scoring model, package it for our platform team, and document the approach. Healthcare or insurance modelling experience is a plus. Data is de-identified.

Skills required

PythonMachine LearningMLOpsSQLForecasting

Screening questions

You'll answer these in your proposal

  1. 1. Describe a fraud or anomaly model you put into production.

Project details

Budget
$80–$110
Type
Hourly
Experience
expert
Duration
3–6 months
Deadline
Nov 15, 2026
Proposals
8
Posted
Jun 15, 2026
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About the client

SM

Aurelia Health

Milan, Italy

Rating
4.60(5)
Total spent
$73.8K
Hires
6
Payment
Verified
Member since
January 14, 2025