Data Scientist for Hail Risk Assessment - ON-158

Preferred Disciplines: Statistics, Mathematics, Data science (Masters)
Company: Cultovo
Project Length: 4-6 months (1 unit)
Desired start date: October or November 2018
Location: Toronto, ON
No. of Positions: 1
Preferences: None

About the Company: 

Cultovo is building an online dashboard to de-risk the increasingly volatile farming business, to bring more crop insurance and security to farmers. The dashboard will more efficiently inform the crop insurer to better manage payouts, reduce premium prices and drive sales. We are integrating data sources like satellite imagery, weather, and more with the risk modelling currently used all in one claims management system. 

Project Description:

Overview: We are looking for data science support in an actuary-related role. That is, broadly to analyse the financial costs of risk and uncertainty, using mathematics, statistics, and financial theory to assess the risk that an event will occur and help future clients develop minimize the cost of that risk. In our case, those risks are crop related. The first peril we are focused on is hail and in future years we will consider others like flooding, drought, disease and others.                            

Problems:

  • How to calculate risk based on weather data
  • How to calculate risk based on GIS data

We hope the researcher will share in our values of globality, improvement and security. We are a team of four who are excited to change the future of agriculture and we are looking for a like-minded individual to join our team.

Research Objectives:

Questions:

  • To what extent can we integrate meteorological data with actuarial modelling?
  • To what extent can we integrate geographic information systems (GIS) data with actuarial modelling?

Deliverables:

  • Hail risk scores 

Methodology:

  • Perform a variety of specialized technical tasks according to established methodology in mathematics and statistics.
  • Work with our team to identify the necessary methods to integrate with our existing infrastructure.

Expertise and Skills Needed:

    Required:

    • Math or statistics

    Nice-to-haves:

    • Knowledge of meteorology
    • Knowledge of GIS
    • Some programming
    • Experience with Agile software development

    For more info or to apply to this applied research position, please

    1. Check your eligibility and find more information about open projects
    2. Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform.
    Program: