VP, Data Science and Pricing Modeling

Aviva

. Lead, coach, and develop a high-performing team of managers, data scientists, and analysts.

Posted 11/3/2026full-timeMontreal • CanadaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading high-performing teams and developing advanced pricing models, machine learning solutions, and predictive analytics. Strong ability to translate complex analyses into actionable business recommendations while fostering collaboration and innovation across diverse teams.

Highest-signal resume keywords

Data Science ExpertiseMachine Learning MethodologiesPredictive Modeling TechniquesTeam Leadership and DevelopmentPricing Analytics Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningPredictive AnalyticsStatistical AnalysisModel DevelopmentAnalytics Solutions ImplementationData-Driven Decision MakingComplex Problem SolvingAnalytical Model ManagementBusiness Strategy Connection

Soft Skills

Excellent CommunicationStakeholder InfluenceRelationship BuildingCuriosity and Continuous LearningCollaboration

Industry Keywords

Property and Casualty InsuranceModel GovernanceOperational EfficiencyEmerging TechnologiesAnalytical Tools Adoption

About the role

Key responsibilities & impact

Lead, coach, and develop a high-performing team of managers, data scientists, and analysts.
Drive the development, enhancement, and deployment of advanced pricing models, machine learning solutions, and predictive analytics capabilities.
Collaborate with business leaders to identify opportunities where data science can improve the customer experience, financial performance, and operational efficiency.
Translate complex analyses into clear, actionable recommendations that influence business decisions.
Oversee model governance, validation, monitoring, and ongoing performance to ensure effectiveness, reliability, and compliance.
Foster innovation by exploring emerging technologies, new analytical approaches, and industry best practices.
Partner with Pricing, Actuarial, Risk, Technology, and Engineering teams to deploy scalable, data-driven solutions.
Encourage the adoption of analytical tools, models, and strategic insights across the organization.
Contribute to priority setting, resource allocation, and the execution of key initiatives.
Promote an inclusive and collaborative culture that encourages curiosity, continuous learning, and diverse perspectives.

Requirements

What you’ll need

University degree in data science, computer science, mathematics, statistics, engineering, actuarial science, or a related field, or an equivalent combination of education and experience.
More than 10 years of experience in data science, machine learning, analytics, statistics, computer science, or a related field.
Demonstrated experience managing and developing high-performing technical teams.
Experience designing and implementing analytics and data science solutions that address complex business challenges and create measurable value.
Strong understanding of predictive modeling techniques, machine learning methodologies, and model development practices.
Demonstrated ability to influence stakeholders and build trusted relationships with technical and non-technical audiences.
Experience developing, implementing, and managing analytical models and data-driven solutions.
Excellent understanding of business issues and the ability to connect analytics to organizational outcomes.
Excellent communication skills and the ability to explain complex concepts in accessible terms.
Strong problem-solving and decision-making skills, with the ability to manage multiple priorities in a dynamic environment.
In-depth knowledge of pricing analytics, predictive modeling, and machine learning in a complex business environment.
Knowledge of the property and casualty insurance industry and the opportunities enabled by data science.
Proven success developing high-performing teams and future leaders.
Ability to connect business strategy, analytics, and technology to deliver meaningful results.
Graduate degree in data science, statistics, computer science, mathematics, actuarial science, artificial intelligence, or a related field.

Benefits

Comp & perks

A comprehensive compensation package including base salary, eligibility for an annual bonus, a retirement savings plan, an employee share ownership plan, health benefits, wellness initiatives, and volunteer opportunities.
A flexible hybrid work model.
Exceptional career development opportunities.
A competitive vacation program, with the option to purchase five additional days per year.
Employee-led programs focused on gender, the LGBTQ+ community, heritage, diversity, and inclusion.
Corporate wellness programs supporting employees’ physical and mental health.
Employee discounts on home and auto insurance, where applicable.