Machine Learning & Data Science Specialist

We’re seeking a Data Scientist or Machine Learning Engineer to build a fraud detection model using an insurance claims dataset. The project includes data cleaning, exploratory analysis, feature engineering, and model development for identifying potentially fraudulent claims. You will evaluate model performance using precision, recall, F1-score, and ROC-AUC, and deliver visualizations, a final report, and well-documented Python code. This project is expected to last 3–6 weeks, with 20–30 hours per week. When applying, briefly describe a similar ML or data science project you’ve completed and the algorithms you would use for fraud detection.