Description
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.
Responsibilities:
- 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.
Requirements:
- 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 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).