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Aviva

Provides savings, retirement, and insurance solutions

AVP, Data Science & Price Modelling

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • An undergraduate degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, or a related discipline, or an equivalent combination of education and experience.
  • At least 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.
  • Experience developing, implementing, and managing analytical models and data-driven solutions.
  • Strong business acumen with the ability to connect analytical insights to business outcomes.
  • Strong problem-solving and decision-making capabilities, with experience balancing multiple priorities in a fast-paced environment.

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.
  • Explore emerging technologies, analytical techniques, and industry best practices to champion innovation.
  • 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.
  • 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.

Desired Qualifications

  • 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.
  • An advanced degree in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science, Artificial Intelligence, or a related field.

About the Company

Aviva

Provides savings, retirement, and insurance solutions

Aviva is a financial services group that provides savings, retirement, and insurance products to individuals, families, and businesses mainly in the UK, Canada, and Ireland. Its products help people manage long-term financial security through life insurance, pensions, and investment options. The company earns money from insurance premiums, investment income, and fees for asset management, and its offerings span protections, savings accounts, retirement plans, and investment services. Aviva differentiates itself by integrating a strong focus on sustainability and responsible investing (such as its Electric Vehicle Salary Sacrifice Scheme and venture capital investments in emerging tech) and by prioritizing diversity and inclusion in its workforce. Its goal is to help clients secure their financial futures while growing its business through a broad, diversified portfolio of financial products and services.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1990

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