AVP, Data Science, Price Modelling

Aviva

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

Posted 10/27/2026full-timeMarkham • CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading high-performing teams and delivering data science solutions that drive business performance and customer outcomes. Proficient in predictive modeling, machine learning methodologies, and translating analytical insights into actionable business strategies.

Highest-signal resume keywords

Data Science LeadershipPredictive Modeling TechniquesMachine Learning MethodologiesAnalytical Model DevelopmentPricing Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningPredictive AnalyticsStatistical AnalysisModel DevelopmentAnalytical SolutionsData-Driven Decision MakingComplex Problem SolvingBusiness Performance ImprovementOperational Effectiveness

Soft Skills

Communication SkillsStakeholder InfluenceTeam DevelopmentCollaborationCuriosity

Industry Keywords

Property & Casualty InsuranceModel GovernanceAnalytical ToolsEmerging TechnologiesIndustry Best Practices

About the role

Key responsibilities & impact

Lead, coach, and develop a high-performing team of leaders, data scientists, and analysts.
Drive development, enhancement, and deployment of advanced pricing models, machine learning solutions, and predictive analytics capabilities.
Partner with business leaders to identify opportunities where data science can improve customer outcomes, business performance, and operational effectiveness.
Translate complex analytical findings into clear, actionable recommendations influencing business decisions.
Oversee model governance, validation, monitoring, and ongoing performance to ensure models remain effective, reliable, and aligned with business and regulatory requirements.
Explore emerging technologies, analytical techniques, and industry best practices to champion innovation.
Collaborate with Pricing, Actuarial, Risk, Technology, and Engineering teams to deliver scalable, data-driven solutions.
Drive adoption of analytical tools, models, and insights across the business.
Shape priorities, allocate resources, and deliver key initiatives supporting business objectives.
Foster an inclusive and collaborative culture encouraging curiosity, continuous learning, and diverse perspectives.

Requirements

What you’ll need

Undergraduate degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, or a related discipline, or an equivalent combination of education and experience.
10+ years of experience in Data Science, Machine Learning, Analytics, Statistics, Computer Science, or a related field.
Proven experience leading and developing high-performing technical teams.
Experience delivering data science and analytics solutions that solve complex business challenges and create measurable value.
Strong understanding of predictive modelling techniques, machine learning methodologies, and model development practices.
Demonstrated ability to influence stakeholders and build trusted relationships across technical and non-technical audiences.
Experience developing, implementing, and managing analytical models and data-driven solutions.
Strong business acumen with the ability to connect analytical insights to business outcomes.
Excellent communication skills, with the ability to explain complex concepts clearly and meaningfully.
Strong problem-solving and decision-making capabilities, with experience balancing multiple priorities in a fast-paced environment.
Deep understanding of pricing analytics, predictive modelling, and machine learning within a complex business environment.
Knowledge of the Property & Casualty insurance industry and the opportunities data science can unlock.
Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science, Artificial Intelligence, or a related field is an advantage.

Benefits

Comp & perks

Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Hybrid flexible work model.
Outstanding career development opportunities.
Professional development education support.
Competitive vacation package with the option to purchase 5 extra days off per year.
Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
Corporate wellness programs supporting physical and mental health.
Employee discount on home and auto insurance (where applicable).