Title: Data Scientist – Fraud Detection & Machine Learning

Location:

Toronto, ON

Duration: 12 months contract

Work Model: Hybrid (4 days onsite)

Introduction

We are seeking a highly technical, hands-on professional to support a fraud detection and machine learning initiative. This individual will be responsible for developing and implementing production-grade data science models, with a robust focus on identifying fraudulent activity and anomalous patterns.

Required Skills & Qualifications
5 years of hands-on Data Science / Machine Learning experience, ideally working with production-grade models.
Strong real-world fraud detection modeling experience; candidates should have personally built or significantly contributed to fraud/risk/anomaly detection models.
Extensive hands-on experience with Google Cloud Platform (GCP).
Solid, practical experience with Vertex AI – mandatory.
Demonstrated experience building MLflow pipelines from scratch,



rather than only consuming or supporting an existing workplace.
Prior work experience at client or in client's Industry.

Preferred Skills & Qualifications
Experience in financial services, banking, payments, insurance, or other environments involving fraud/risk detection.
Experience working with large-scale transactional or behavioral datasets.
Experience with BigQuery and other GCP data services.

Day-to-Day Responsibilities
Design, develop, train, test, and optimize machine learning models for fraud detection and anomaly identification.
Analyze large and complex datasets to identify suspicious behaviors, patterns, trends, and potential fraud indicators.
Build and maintain scalable end-to-end ML/MLOps pipelines.

For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Data Scientist – Fraud Detection & Machine Learning Toronto
🏢 Artech
📍 Toronto