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Aviva Canada

AVP, Data Science & Price Modelling

Markham, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Experience: 10+ years of experience in Data Science, Machine Learning, Analytics, Statistics, Computer Science, or a related field.
Posting language: English
Posted: Oct 27, 2026

Original job description

Experience Aviva

Together, we are Aviva. Our values - Care, Commitment, Community, and Confidence - guide how we show up for each other and for our customers. Individually, they’re words. Together, they define who we are.

At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.

The Opportunity

We're looking for an AVP, Data Science & Price Modelling to lead a talented team that's transforming how we use analytics, machine learning, and predictive modelling to drive profitable growth and better outcomes for our customers.

In this role, you'll lead the development and delivery of advanced pricing models and data-driven solutions while partnering with teams across Pricing, Actuarial, Risk, and Technology. You'll combine technical leadership, business partnership, and people development to help shape decisions, solve complex challenges, and advance Aviva's data science capabilities. You'll have the opportunity to influence how one of Canada's leading insurers applies AI, machine learning, and advanced analytics to solve real business challenges at scale.

If you're passionate about building high-performing teams, turning data into action, and creating meaningful business impact, we'd love to hear from you.

What You’ll Do

Lead, coach, and develop a high-performing team of leaders, data scientists, and analysts, creating an environment where people can grow, collaborate, and do their best work.
Drive the 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 that influence business decisions.
Oversee model governance, validation, monitoring, and ongoing performance to ensure models remain effective, reliable, and aligned with business and regulatory requirements.
Champion innovation by exploring emerging technologies, analytical techniques, and industry best practices.
Work closely 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 to maximize value and measurable impact.
Help shape priorities, allocate resources, and deliver key initiatives that support business objectives.
Foster an inclusive and collaborative culture that encourages curiosity, continuous learning, and diverse perspectives.

What You’ll Bring

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 in a clear and meaningful way.
Strong problem-solving and decision-making capabilities, with experience balancing multiple priorities in a fast-paced environment.

What Makes You Stand Out

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.
Success building high-performing teams and developing future leaders.
Ability to connect business strategy, analytics, and technology to deliver meaningful outcomes.
Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science, Artificial Intelligence, or a related field.

What You’ll Get

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.
We’ll support your professional development education.
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 to support our employees’ physical and mental health. 
Employee discount on home and auto insurance (where applicable).

This job advertisement is for an existing vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.

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More about this job

Responsibilities

Lead and develop a high-performing data science team while directing the development, deployment, governance, and monitoring of pricing models, machine learning solutions, and predictive analytics. Partner across business and technical teams to turn analytical insights into actionable decisions, drive adoption of data-driven solutions, and deliver measurable business outcomes.

Requirements

Requires an undergraduate degree in a relevant discipline or equivalent education and experience, at least 10 years of relevant experience, and a track record of leading technical teams and delivering valuable analytics solutions. Candidates should bring strong predictive modelling and machine learning knowledge, stakeholder influence, business acumen, communication, and problem-solving skills; pricing analytics, P&C insurance experience, and an advanced degree are differentiators.

Skills

Data Science
Pricing Analytics
Predictive Modelling
Machine Learning
Advanced Analytics
Statistical Modelling
Model Governance
Model Validation
Model Monitoring
Team Leadership
Stakeholder Management
Business Acumen
Data-Driven Decision-Making
Communication
Problem-Solving
Cross-Functional Collaboration

Benefits

Annual Bonus
Retirement Savings
Share Plan
Health Benefits
Personal Wellness
Volunteer Opportunities
Flexible Hybrid Work Model
Career Development Opportunities
Professional Development Education Support
Vacation Package
Option to Purchase Additional Vacation Days
Diversity and Inclusion Programs
Corporate Wellness Programs
Employee Home and Auto Insurance Discount

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Pricing Analytics
Price Modelling
Predictive Modelling
Machine Learning
Artificial Intelligence
Advanced Analytics
Statistics
Data-Driven Solutions
Model Development
Model Deployment
Model Governance
Model Validation
Model Monitoring
Risk Management
Actuarial Science
Property and Casualty Insurance
Insurance
Data Analytics
Business Strategy
Technology
Engineering
Customer Outcomes
Operational Effectiveness
Stakeholder Management
Team Leadership
Resource Allocation
Regulatory Requirements

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