Data Scientist- Claims

# Data Scientist
- Claims Co-operators

Full Timemid Hybrid Guelph , Ontario, CAPosted Yesterday##

Role Overview Co-operators is hiring a mid-level Data Scientist
- Claims. This is a full-time hybrid role, based in Guelph. Part of Co-operators's Data Science hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Mid-level Data Science roles is $120k-$180k (based on 37 comparable listings). Many employers share specifics during the interview process or after an initial screen.##

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Job Description Company: CGICDepartment:
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

The Opportunity 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 contribute to initiatives by making clever use of customer-related data to 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 MLOps workflows for model monitoring and automated retraining, and collaborating with cross-functional teams to translate data insights into actionable business strategies.

How You Will Create Impact
* 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.

To Join Our Team
* 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…