Data Scientist

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

Position Type:
Permanent

If you're looking for a fulfilling career that can make a real difference in your life, and the lives of others, you've come to the right place.

As a national health solutions partner, we put people first in everything we do - and that begins with our team of 8,000+ professionals who bring a cross-section of diverse life experiences and career expertise to Medavie. By collaborating and innovating together, our employees are creating industry‑leading solutions in insurance, primary care and emergency medical services that impact millions of lives in Canada each year.

Our mission is to improve the wellbeing of Canadians so that every life can be lived to the fullest - and it's reflected in our award‑winning culture. We celebrate individuality and value the diverse perspectives and skills our employees contribute. We go beyond providing competitive pay and comprehensive benefits to offer opportunities for personal and professional growth, flexible work options, meaningful experiences, and supportive leadership. Medavie is where employees can be their best selves, feel they belong, and achieve their full potential. Be part of it by applying for a position with us today.

Overview

Are you energized by complex data challenges and motivated to outsmart fraud using advanced analytics? We're adding a Data Scientist - Digital Forensics to our team to help develop and refine the machine learning models that detect emerging fraud risks and protect our organization.

In this role, you'll work with large, complex datasets, build and optimize predictive models, collaborate with investigators and business partners, and continuously evolve our fraud detection capabilities. If you're curious, analytical, and passionate about impactful data science work, this is an opportunity to make a meaningful difference.

What You Do

• Develop and implement advanced analytics techniques, including machine learning algorithms and predictive models, to assess fraud risk.
• Combine, interpret, and analyze highly complex data from multiple sources to uncover patterns, anomalies, and risk indicators.
• Collaborate with Business Analysts, Data Analysts, and cross‑functional partners to understand requirements, validate models, and support decision‑making.
• Continuously improve processes, algorithms, and models based on operational changes, investigator feedback, and emerging fraud trends.
• Monitor for new fraud risks and build or update models to stay ahead of evolving threats.
• Maintain thorough documentation for workflows, models, algorithms, databases, and code repositories.
• Ensure compliance with privacy, security, and data protection standards.

What You Bring

• Education or equivalent experience in data science, analytics, statistics, engineering, or a related field.
• 5+ years of progressive experience applying data science and machine learning in real‑world environments.
• Background working with federal contracts or government‑regulated datasets is considered a significant advantage.
• Proficiency in Python or R, SQL, Git/GitHub, and data visualization tools such as Power BI, or willingness to learn.
• Professional certifications in data science or programming (Microsoft, Google, IBM, etc.) are considered an asset.
• Strong communication skills—able to present complex information clearly to both technical and non‑technical audiences.
• A highly analytical mindset with the ability to independently interpret data, identify relationships, and draw meaningful conclusions.
• Strong time‑management skills with the ability to prioritize, organize, and act with appropriate urgency.
• English fluency; French is considered an asset.
• Security Clearance Requirement: In conjunction with our contract with the Federal Government, you will be required to have Reliability Status Clearance (Enhanced Level B). This includes Fingerprinting, Criminal Record Check, Credit Check and you must have resided in Canada for at least 5 years and hold Permanent Resident or Citizenship Status.

Pay Range

88,158 - 99,177 CAD

The Base Pay range may vary depending on the successful candidate or other relevant job‑related factors such as knowledge, skills, qualifications, experience and education/training. In addition to Base Pay, eligible Medavie employees may participate in various performance‑based incentive programs. Payments under these programs are discretionary and subject to both individual and organizational results.

We believe our employees should reflect the communities we serve and welcome applications from candidates of all backgrounds. To provide the best experience possible, we will support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team of your needs. We are committed to making sure recruitment, retention, advancement, and compensation are fair and accessible while following all relevant human rights and privacy laws. We appreciate everyone who has shown interest in this position. Only those selected for an interview will be contacted.

Our recruitment process may involve automated tools, including AI, to assist in screening applications.

If you experience any technical issues throughout the application process, please email: [e-mail].