Senior Data Scientist

Co-operators; Toronto; Hybrid; CAD 84,000 - 134,000; Full time

Benefits offered by this job

Flexible work options

Paid time off

Volunteer days

Total rewards package

Job summary

CGIC is seeking a Senior Data Scientist to join the Corporate Actuarial Advanced Analytics team. You will develop and monitor advanced analytical solutions for P&C claims reserving, collaborating with actuaries and BI partners.

Expect a hybrid schedule with at least two days in the office, and an emphasis on governance, testing, and scalable models. You should have 6–9 years in data science or related fields, a relevant Bachelor’s degree, and strong skills in R, Python, SQL, Databricks, and

Qualifications

• Six to nine years of experience in Data Science, AI, BI, or related field.
• Bachelor’s degree in CS/Eng/Math/Stats/Actuarial/Data Science; graduate studies are an asset.
• Proficiency in statistics, predictive modelling, and machine learning.
• Experience delivering production-ready models or recurring analytical solutions.
• Proficiency in R, Python, SQL, and data-engineering tools is required.
• Proficiency in Databricks and cloud-based analytics environments is an asset.
• Experience with source control, peer review, testing, documentation, deployment, and monitoring is an asset.
• P&C insurance experience and English proficiency are assets; non-French duties apply.

Responsibilities

• Develop, validate, implement, maintain, and monitor predictive models for P&C claims reserving.
• Translate reserving objectives into analytical approaches and project designs.
• Apply statistical techniques, predictive modelling methods, and ML algorithms with metrics.
• Deliver reliable, production-ready analytical solutions autonomously.
• Evaluate methodologies for efficiency, accuracy, flexibility and interpretability.
• Advance measurement, monitoring, and communication of model performance.
• Integrate analytics into recurring reserving processes and support adoption.
• Strengthen testing, documentation, controls, and model governance.

Skills

R

Python

SQL

Data engineering

Databricks

Cloud environments

Source control

Testing & deployment

Model governance

Education

Bachelor's degree in CS/Engineering/Math/Stats/Actuarial/Data Science

Graduate studies asset

Tools

Databricks

Job description

Company: CGIC

Department: Corp Actuarial Services

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. We prioritise our people and provide a strong culture and development opportunities that enable our team to thrive and live our purpose.

The Corporate Actuarial Advanced Analytics team brings together actuarial expertise and data science to develop, maintain, and integrate analytical solutions supporting P&C claims reserving, while improving core actuarial processes and strengthening model monitoring, governance, controls, documentation, and operational sustainability.

As a Senior Data Scientist, you will develop, validate, implement, maintain, and monitor advanced analytical solutions in close collaboration with actuaries and Business Intelligence partners.

How You Will Create Impact

• Develop, validate, implement, maintain, and monitor predictive models supporting P&C claims reserving.
• Translate reserving objectives into appropriate analytical approaches and project designs.
• Apply statistical techniques, predictive-modelling methods, and machine-learning algorithms, and develop appropriate performance metrics.
• Deliver reliable, reproducible, production-ready analytical solutions autonomously.
• Evaluate methodologies for efficiency, accuracy, flexibility, stability, and interpretability.
• Advance the measurement, monitoring, analysis, and communication of model performance.
• Integrate analytics into recurring reserving processes and support sustainable adoption.
• Strengthen testing, documentation, controls, technical handoffs, and model-risk governance.
• Make evidence-based recommendations and coach peers on scientific and analytical practices.

To Join Our Team

• Six to nine years of experience in Data Science, Artificial Intelligence, Business Intelligence, or a related field.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, Data Science, or a related field; graduate studies are an asset.
• Demonstrated proficiency in statistics, predictive modelling, and machine learning.
• Experience solving complex problems and delivering production-ready models or recurring analytical solutions.
• Proficiency in R, Python, SQL, and data-engineering tools is required.
• Proficiency in Databricks and cloud-based analytical environments is an asset.
• Experience with source control, peer review, testing, documentation, deployment, and monitoring is an important asset.
• P&C insurance experience is an important asset; claims, reserving, actuarial analytics, or model-governance experience is an asset.
• This role primarily works with non-francophone groups and teams outside Québec and requires proficiency in English. The essential non-French duties cannot be reassigned.

How You Will Succeed

• You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
• You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
• You have strong communication skills to clearly convey messages and explore diverse points of view.
• You build trusting relationships and provide guidance to support the development of colleagues.

What You Need To Know

• A background check is a condition of employment for the successful candidate.
• The hybrid work posture requires at least two days per week in the office.

What’s in it for you?

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

Salary information

“Expected salary/hourly range $83,774 - $133,700+” (min-max, full range)

Salary placement

“The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to: local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.”

Incentive/Variable pay

“Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and/or business performance, or other business metrics.”