Senior Data Scientist, Life & Health Analytics (Hybrid)

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

Benefits offered by this job

Training & development

Flexible work options

Well-being programs

Volunteer days

Total rewards package

Job summary

CLIC, a leading Canadian financial services co-operative, invites a Senior Data Scientist to join Actuarial Insights. Hybrid work model with two days in office, role conducted in English, and opportunities to advance analytics capabilities in pricing and claims.

You will build predictive models, include ML/LLMs, develop Power BI dashboards, and ensure governance and data standards while collaborating across IT, underwriting, claims and sales.

Qualifications

• University degree in Data Science, Statistics, Computer Science or another STEM discipline.
• 6–9 years of relevant experience in data science/analytics, preferably in insurance.
• Experience in predictive analytics such as ML and large language models.
• Experience developing and maintaining Power BI dashboards, with data warehousing and scalable analytics.
• Knowledge of insurance pricing, claims analysis, underwriting and actuarial methodologies; group benefits is a plus.
• Strong analytical and critical-thinking skills with ability to translate insights into business recommendations.
• Ability to communicate complex analytics to technical and non-technical audiences.
• Proven ability to work independently and cross-functionally with actuarial, underwriting, claims, sales, IT, risk and governance partners.

Responsibilities

• Develop and enhance predictive models and analytical solutions to improve pricing, claims forecasting and underwriting risk.
• Leverage internal and external data to identify trends, patterns, anomalies and potential fraud indicators.
• Translate model outputs into clear, actionable insights for multiple teams and strategies.
• Investigate and implement ML/LLM/AI solutions within actuarial workflows.
• Automate routines and digitize workflows to boost efficiency and focus on high-value decisions.
• Create dynamic dashboards and tools to monitor performance on demand.
• Collaborate with IT and data teams to improve data accessibility and scalability.
• Ensure compliance with data standards, model risk management and AI governance.

Skills

Predictive analytics

Machine learning

Power BI dashboards

Data governance

Critical thinking

Data management

AI governance

Communication

Education

University degree in Data Science or STEM

Job description

CLIC, a leading Canadian financial services co-operative, invites a Senior Data Scientist to join Actuarial Insights. Hybrid work model with two days in office, role conducted in English, and opportunities to advance analytics capabilities in pricing and claims.

You will build predictive models, include ML/LLMs, develop Power BI dashboards, and ensure governance and data standards while collaborating across IT, underwriting, claims and sales.