Senior Data Scientist

Posted 2 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
84K-134K Annually
Senior level
Fintech • Software • Financial Services
The Role
Develop, validate, implement, maintain, and monitor predictive models supporting property and casualty claims reserving. Translate actuarial objectives into statistical and machine-learning solutions, deliver production-ready analytics, evaluate model performance, and strengthen governance, documentation, testing, controls, and monitoring. Collaborate with actuaries and business intelligence partners, integrate analytics into recurring processes, provide evidence-based recommendations, and coach peers on analytical practices.
Summary Generated by Built In

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.” 

Skills Required

  • 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
  • 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
  • Proficiency in English
  • Graduate studies
  • Proficiency in Databricks and cloud-based analytical environments
  • Experience with source control, peer review, testing, documentation, deployment, and monitoring
  • P&C insurance experience, including claims, reserving, actuarial analytics, or model governance
  • French language proficiency
  • Successful completion of a background check
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The Company
HQ: Guelph, Ontario
7,516 Employees
Year Founded: 1945

What We Do

As a leading Canadian financial services co-operative, Co-operators offers multi-line insurance and wealth products, services, and advice to build financial strength and security. With over $56 billion in assets under management, we provide financial solutions and security through property and casualty (P&C) insurance, life insurance, wealth management, institutional asset management and brokerage operations. We are governed by member organizations, including co-operative organizations, credit union centrals and representative farm organizations. We are rooted in the idea that together, we are stronger, safer, and more resilient. Our vision to be a catalyst for a sustainable society is reflected in everything we do, including our community investment programs, strategic partnerships, and active volunteerism. We champion and fund the development of community-oriented co-operatives and social enterprises, invest for positive impact, and work hard to contribute to communities across Canada by supporting financial literacy, mental health, flood safety, and sustainability initiatives and programming. With over 600 locations across the country, over 6,000 employees and a dedicated financial advisor network of over 2,500 licensed insurance representatives, we remain true to our roots: putting the needs of our clients and our communities first. Our response to COVID-19 As an essential service, we took immediate steps to ensure the health and safety of our people, clients, and communities. We’re following the direction of Health Canada as we roll out a phased return to corporate and local offices across the country. If you have applied for a posted role, a recruiter will be in touch with an update. Currently, all interviews are being conducted remotely.

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