Ville : Burnaby

Catégorie : Health Insurance

Industrie : Insurance

Employeur : Pacific Blue Cross

If you’re someone with a passion for generating and analyzing data sets to enable successful fraud investigations and wanting to take on a great career opportunity with a local not-for-profit health insurance provider by using your analytic, trend, and reporting support skills to utilize modeling techniques, we want to hear from you.

Your skills in supervised and unsupervised machine learning (regression, classification, clustering) lead to Pacific Blue Cross being able to provide sustainable healthcare.

We offer an attractive compensation and benefits package and work-life balance. Our workplace culture values health and wellness, diversity and equality, continuing education, environmental sustainability and giving back to the community.

We are now recruiting for a Fraud Investigations Data Scientist to join our Audit team. The role will be working from home and from our head office in Burnaby, BC. Apply this week if you would like to take on this role.

Key Ways This Position Makes An Impact

The Fraud Investigations Data Scientist is responsible for providing support to the Fraud Investigation team by providing analytics, trends, and reporting support. In this role you will then generate and analyze data sets to enable the success of fraud investigations.

This role will use modeling techniques such as supervised and unsupervised machine learning.

This role helps generate and identify fraud patterns using statistical techniques and data analytic tools, codes algorithms into the analytics tool, and develops a targeted list based on criteria and risk scoring algorithms.

By writing algorithms, analyzing data, supporting the team, and training team members about the data that has been uncovered, you will help with the setting of the Claims Fraud Investigation process.

In this role, you would develop models and emerging patterns for new fraud schemes to understand suspicious activity and identify and resolve risks.

Key Experiences You Bring To This Role

• Minimum 5 years’ of experience in manipulating large datasets
• Minimum 3 years’ of relevant quantitative and qualitative analytics experience creating analytical reports
• Proficiency in writing SQL queries
• Proficiency in creating predicting machine learning models using R or Python
• Experience using Cognos, Oracle, Microsoft SSRS, Powerview, PowerPivot, Tableau, PowerBI

If you’re excited about taking on this opportunity, we invite you to apply today and start the conversation with us about this position.

Together we can create a healthier British Columbia through teamwork, exceptional service and accountability that will help improve sustainable healthcare.

Please apply via our website this week at http://www.pbchbs.com/company/careers/

While we thank all applicants for their interest, only short-listed candidates will be contacted.

We strive to create a workplace where everyone feels valued and employees feel empowered to freely participate and contribute regardless of race, ethnicity, gender, sexual orientation, religion, ability, education level, parental status, or socioeconomic status. PBC is an equal opportunity employer and welcomes applications from all qualified candidates.

To request an accommodation in completing this application, pre-employment testing, interviewing or otherwise participating in the employee selection process, please direct your inquiries to careers@pac.bluecross.ca