Data Science Leader

6 days ago


Montreal, Quebec, Canada Aviva Full time
About the Role

We are seeking an experienced Actuarial Manager to lead our Data Science team and drive business growth through data-driven insights.

Key Responsibilities
  • Lead a high-performing technical team focused on data science and analytics.
  • Develop and implement data science strategies to accelerate business growth, increase profitability, and reduce operational costs.
  • Collaborate with business partners to understand key business areas and identify opportunities for data science innovation.
  • Oversee the development of data science products, models, and other data-driven outputs.
  • Ensure tight-knit collaboration with all relevant partners, technical teams, and users across the organization.
  • Straddle the worlds of insurance professionals, data scientists, and engineers to prioritize data-driven solutions.
  • Work closely with business partners to understand day-to-day challenges and key areas of opportunity for innovation and growth.
  • Communicate and present data science solutions, results, and outcomes up to a VP level.
Requirements
  • Undergraduate degree in Actuarial Science, Data Science, or related fields, or equivalent experience.
  • At least five years of experience working in an Actuarial Science or Data Science driven organization or team.
  • Demonstrable experience leading technical professionals in managerial or senior technical roles.
  • Expert proficiency in at least one programming language, preferably Python.
  • Excellent communication skills and comfort communicating sophisticated ideas appropriately for senior leadership and non-technical audiences.
  • Understanding of UI/UX design and how it impacts the user experience.
  • Ability to assess and improve the usability and design of a solution.
What We Offer
  • Competitive rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
  • Exceptional Career Development opportunities.
  • We'll support your professional development education.
  • Hybrid work model.


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