Data Scientist - Fraud Analytics & Digital Forensics

Medavie; New Brunswick; On-site; CAD 88,000 - 100,000; Full time

Job summary

A national health solutions partner in New Brunswick seeks a Data Scientist - Digital Forensics to enhance fraud detection through advanced analytics and machine learning. Candidates should have over 5 years of experience in data science, strong analytical skills, and proficiency in Python or R. This role involves collaborating with various teams to develop predictive models and improve fraud detection capabilities. Benefits include competitive pay and opportunities for growth.

Qualifications

• 5+ years of experience in data science and machine learning.
• Experience with government-regulated datasets is advantageous.
• Fluency in English; French is an asset.

Responsibilities

• Develop and implement advanced analytics techniques including machine learning algorithms.
• Analyze complex data from multiple sources to identify fraud patterns.
• Collaborate with analysts to validate models and support decision-making.

Skills

Python or R

SQL

Data visualization

Strong communication skills

Analytical mindset

Education

Education in data science, analytics, or related field

Tools

Power BI

Git/GitHub

Job description

A national health solutions partner in New Brunswick seeks a Data Scientist - Digital Forensics to enhance fraud detection through advanced analytics and machine learning. Candidates should have over 5 years of experience in data science, strong analytical skills, and proficiency in Python or R. This role involves collaborating with various teams to develop predictive models and improve fraud detection capabilities. Benefits include competitive pay and opportunities for growth.