Description
We are seeking an Assistant Vice President, Data Science and Pricing Modelling to lead a talented team that transforms how we use advanced analytics, machine learning, and predictive modelling to drive profitable growth and improve customer experience.
In this role, you will lead the development and implementation of advanced pricing models and data-driven solutions, collaborating closely with Pricing, Actuarial, Risk, and Technology teams. You will combine technical leadership, business partnership, and talent development to inform decision-making, solve complex challenges, and evolve Aviva's data science capabilities.
Responsibilities
- Lead, coach, and develop a high-performing team of managers, data scientists, and analysts, fostering an environment conducive to growth, collaboration, and excellence.
- Drive the development, improvement, and deployment of advanced pricing models, machine learning solutions, and predictive analytics capabilities.
- Collaborate with business leaders to identify opportunities where data science can enhance 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 regulatory compliance.
- Foster innovation by exploring emerging technologies, new analytical approaches, and industry best practices.
- Work closely with Pricing, Actuarial, Risk, Technology, and Engineering teams to deploy scalable data-driven solutions.
- Encourage the adoption of analytical tools, models, and insights across the organization to maximize value and impact.
- Contribute to setting priorities, allocating resources, and executing key initiatives supporting organizational objectives.
- Promote an inclusive, collaborative culture that encourages curiosity, continuous learning, and diverse perspectives.
Requirements
- University degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, or a related field, or equivalent combination of education and experience.
- Over 10 years of experience in data science, machine learning, analytics, statistics, computer science, or a related field.
- Proven experience managing and developing high-performing technical teams.
- Experience designing and implementing analytical and data science solutions that address 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 trust with technical and non-technical audiences.
- Experience developing, implementing, and managing analytical models and data-driven solutions.
- Excellent business acumen and ability to connect analysis to organizational outcomes.
- Outstanding communication skills and ability to distill complex concepts.
- Strong problem-solving and decision-making skills, with ability to manage multiple priorities in a dynamic environment.
What We Offer
- Comprehensive compensation package including base salary, annual bonus eligibility, retirement savings plan, employee stock ownership plan, health benefits, wellness initiatives, and volunteer opportunities.
- Hybrid and flexible work model.
- Exceptional career development opportunities.
- Competitive vacation regime with the option to purchase 5 additional days per year.
- Employee-led programs focused on gender, LGBTQ+ community, origins, diversity, and inclusion.
- Corporate wellness programs to support employees' physical and mental health.
- Employee discounts on home and auto insurance (where applicable).