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Data Scientist
2 weeks ago
Company: CGIC
Department: Business Intelligence
Employment Type: Regular Full-Time
Work Model: Hybrid
Language: French is required, English 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 Business Intelligence team empowers decision making using leading edge science and analytics. We champion a scientific culture through our passion for continuous learning, diversity and innovation. We strive to deliver a single version of truth, by providing our business partners with access to comprehensive data and valuable insights to help our organization achieve operational excellence.
As part of the ACE (Analytics for Client Economics) team, you will contribute to initiatives by using 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, developing solution's benefits dashboards and reports, implementing machine learning pipelines, deploying models into production systems, establishing MLOps (Machine Learning Operations) workflows for model monitoring and automated retraining. You will work collaboratively with cross-functional teams to translate data insights into actionable business strategies.
How you will create impact:- Understanding our partner's business objectives in order to 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 implementing 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.
- Contribute to strategic projects such as customer lifetime value modeling, churn prediction, personalization engines, and developing client success KPIs that drive profitable business growth.
- 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 have two to five years of experience in statistics, actuarial or data science.
- You have a post-secondary degree in Mathematics, Statistics, Actuarial Science or a related discipline.
- You are proficient with statistical programming languages and have experience working with large data volumes.
- Strong understanding of P&C Insurance concepts.
- Having experience working with R or Python and SQL is an asset.
- Strong background using statistics to validate models and hypothesis.
- Experience communicating complex information to diverse audiences.
- Proficiency in French is essential to the main duties in this role, including servicing and communicating primarily with majority francophone clients, groups, teams. The essential non-English duties are not assignable to adjacent or other team members.
- You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.
- Training and development opportunities to grow your career.
- Flexible work options to support personal and family needs.
- A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
- Volunteer opportunities to give back to your community.