Fraud AI Scientist — GenAI & Azure Databricks

Manulife; Toronto; Hybrid; CAD 63,000 - 114,000; Full time

Job summary

A leading financial services provider in Toronto is seeking an Associate Data Scientist to enhance fraud detection using AI. The successful candidate will utilize machine learning and cloud technology to develop sophisticated models, collaborating with various teams. Ideal applicants should have strong programming skills in Python, familiarity with cloud platforms like Azure, and an advanced degree in a relevant field. This role offers a competitive salary and a hybrid work environment.

Benefits

Health and dental benefits

Mental health support

Flexible working environment

Retirement savings plans

Generous paid time off

Qualifications

• Strong programming skills in Python and familiarity with PySpark/Spark SQL/SparkML.
• Experience with Generative AI techniques and Azure Databricks.
• Excellent communication skills and collaboration abilities.
• Advanced degree required in relevant fields.

Responsibilities

• Design and refine machine learning models for fraud detection.
• Utilize Azure Databricks for processing large datasets.
• Conduct in-depth data exploration to identify patterns.
• Stay updated on developments in ML and GenAI.

Skills

Python programming

PySpark/Spark SQL/SparkML

Generative AI techniques

Cloud computing (Azure Databricks)

Problem-solving skills

Effective communication

Education

Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering or related fields

Tools

Azure

Databricks

Neo4j

Job description

A leading financial services provider in Toronto is seeking an Associate Data Scientist to enhance fraud detection using AI. The successful candidate will utilize machine learning and cloud technology to develop sophisticated models, collaborating with various teams. Ideal applicants should have strong programming skills in Python, familiarity with cloud platforms like Azure, and an advanced degree in a relevant field. This role offers a competitive salary and a hybrid work environment.