Data Scientist- Claims

Company: CGIC
Department:
Claims

Employment Type:

Regular Full-Time
Work Model:
Hybrid (2 days in office)
Language:
English is required, French is an asset.
Additional Information:
This/these role(s) is/are currently vacant

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients and our communities.

Our Claims team aspires to create peace of mind for our clients and our communities. Our national team of knowledgeable and trusted professionals serve our clients with compassion. We are passionate about continuous improvement and operate with high-integrity, motivated by our desire to do the right thing for our clients.

As a Data Scientist,you will contributetoinitiativesby making clever use of customer-relateddatato help the organisation make data-driven decisions.

Your role will involve various tasks, such as collecting and analyzing client data, building predictive models for customer behavior, creating segmentation strategies, implementing machine learning pipelines, deploying models into production systems, establishing

MLOpsworkflows for model monitoring and automated retraining, and collaborating with cross-functional teams to translate data insights into actionable business strategies.

• Understanding business objectives and help stakeholders implement data-driven initiatives that maximize customer satisfaction, retention, and profitability.
• Developing advanced analytics solutions to solve client-related business problems using data science, including programming, statistical techniques, machine learning modeling, and predictive forecasting methods.
• Executing comprehensive data exploration, extraction, cleaning, reconciliation, and preparation processes from multiple client touchpoints to build robust analytics foundations.
• Designing and implement MLOps pipelines for model deployment, monitoring, and automated retraining to ensure continuous model performance and reliability in production environments.
• Communicating actionable insights and recommendations to influence client strategy, marketing decisions, and product development through compelling visualizations and presentations.
• Contributing to strategic projects such as customer lifetime value modeling (CLV), churn prediction, personalization engines, and developing client success KPIs that drive profitable growth.

• You have three years of experience in statistics, actuarial or data science.
• You have a post-secondary degree in Mathematics, Statistics, Actuarial Science or a related discipline.
• Having a Master’s degree, ACAS/ACIA or FCAS/FCIA designation is considered an asset.
• You are proficient with statistical programming languages and have experience working with large data volumes.
• Strong understanding of P&C Insurance claims concepts.
• Having experience working with R or Python and SQL is an asset.
• Experience with Databricks, MLflow or PySpark is considered an asset.
• Strong background using statistics to build and validate predictive models.
• Experience with model lifecycle and MLOps is considered an asset.
• Experience communicating complex information to diverse audiences.
• This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members.

• You influence change and are committed to continuous improvement, in order to exceed client expectations.
• You leverage critical thinking skills to identify problems and proactively propose solutions.
• Your strong communication skills allow you to clearly convey messages.
• You’re an effective team player who shares knowledge to support our peers.

• You will be subject to a Background check as a…