Are you interested in a career in data science? Are you wondering how machine learning, AI, and data analysis can be leveraged for financial applications?

Then come on out to the first Intact Datathon, where you’ll have the chance to meet with Data Scientists & Actuarial pros from Intact Data Lab and work with real production data from Intact! You will be challenged to find and build solutions to a real life problem faced by actuaries over the course of the weekend!

Challenge Statement: Auto insurers strive to accurately predict future losses so that they can provide accurate pricing for auto insurance policies. In the age of big data, we challenge all participants to analyze the provided data and create predictive loss cost models and/or creative data visualizations from the data.

Winners will have the chance to receive cool prizes!

This event is FREE and for UWaterloo MathSoc students only. Food and drinks will be served. No coding experience is required.

Eligibility

Intact Datathon 2019 is open to individuals who have registered for the event via the official sign-up form by July 26, 2019, 8:30PM. Participation in the Hackathon constitutes Participant’s full and unconditional agreement to and acceptance of these Terms and Conditions (“Terms”). The term “you” refers to you, the “Participant”. Failure to abide by the regulations outlined or the associated rules may render the participant ineligible to participate or win “prizes”.

Requirements

Please include all additional presentation files and supplmentary files along with a copy of all graphical assets and code with your submission. 

Hackathon Sponsors

Prizes

$CAD 800 in prizes
First Place
1 winner

One (1) Fitbit Inspire Per Winning Team Member

Second Place
1 winner

One (1) Amazon Echo Dot Per Winning Team Member

Third Place
1 winner

One (1) Anker 10W PowerWave Wireless Charging Pad Per Winning Team Member

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Winnie Luong

Winnie Luong
Actuarial Analyst, Intact Insurance

Frank Jiang

Frank Jiang
Actuarial Analyst / Data Scientist, Intact Insurance

Felix Go

Felix Go
Actuarial Analyst, Intact Insurance

Judging Criteria

  • Technical Complexity
    30% Weighting - Technical or modelling complexity and other incorporated technologies/hardware.
  • Business Practicality
    30% Weighting - Your project's real business applications, can the POC be expanded to create a real, marketable product to consumers.
  • Design
    20% Weighting - User experience, intuitiveness, ease of use, and generally how good your project looks.
  • Creativity
    20% Weighting - How unique and original your project is.

Questions? Email the hackathon manager

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