Join an exciting team of actuaries, data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is undergoing a transformation and you get to be in the driver’s seat of this data-driven, technology revolution.
You will work on impactful projects that range from predicting customer life-time values and optimizing customer journeys to incorporating novel data sources for building cutting-edge pricing algorithms. You will leverage machine-learning algorithms to automate and predict claim outcomes and find new and innovative ways to impact our customers. This team is exploring the frontiers of the insurance business such as how to harness the data from connected homes and cars to deliver new types of products to customers.
As a senior data-scientist, you will be part of a dynamic small team with exposure to different business partners and direct influence on future products and innovative solutions. You will propose machine-learning and statistical models for practical applications that impacts millions of customers. You will also mentor and guide your peers in novel approaches and provide peer review for their work. The team has already developed algorithms used in production systems and you will be part of the team that expands the scope of these algorithms. This is your chance to join the InsureTech revolution!
What you need to succeed
As a data-scientist, you will need the following skills and experience to succeed in the role:
What sets you apart
Aviva Canada is committed to providing accommodations for people with disabilities during all phases of the hiring process including the application process. If you require an accommodation because of a disability, we will work with you to meet your needs. Applicants need to make their needs known in advance. If you are selected for an interview and require an accommodation, you are encouraged to advise the Talent Acquisition Partner who will consult with you to determine an appropriate accommodation.