Full-Time

Data Scientist

Posted on 11/20/2024

ZestyAI

ZestyAI

51-200 employees

AI-driven risk analytics for insurance

AI & Machine Learning
Financial Services

Mid

No H1B Sponsorship

Montreal, QC, Canada

Must be legally eligible to work in Canada.

Category
Data Science
Data & Analytics
Required Skills
Kubernetes
Python
Data Science
Tensorflow
Git
Pytorch
BigQuery
SQL
Docker
AWS
OpenCV
Computer Vision
Google Cloud Platform
Requirements
  • At least 2-3 years of experience applying machine learning techniques, including experience across computer vision applications and predictive modeling
  • BA / BS / BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related fields. MS degree or Ph.D. is certainly a bonus
  • Strong understanding of machine learning, deep learning, and AI principles
  • Extensive knowledge and hands-on experience in implementing deep learning models and/or machine learning models
  • Experience deploying predictive or deep learning models in production environments
  • Proficiency in Python, along with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly)
  • Understanding of data preprocessing and augmentation techniques for large-scale image datasets (bonus if you’ve already worked with aerial or satellite imagery)
  • Experience working with cloud computing (e.g. AWS, Google Cloud Platform, Kubernetes, Docker, etc.)
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows
  • Experience working with SQL, BigQuery
  • Excellent problem-solving skills and ability to work independently and as part of a team in a dynamic environment
  • Strong organizational and management skills with experience implementing best practices and processes
  • Strong communication skills
  • Must be legally eligible to work in Canada
Responsibilities
  • Explore data sources and develop new Property Tech and InsurTech models with data science, including Machine Learning and Deep Learning
  • Implement deep learning algorithms and architectures that extract insights from aerial imagery, satellite imagery, and geospatial data
  • Research and model aspects of property risk utilizing imagery, hazard data, geospatial data, and other data sources
  • Lead high-quality dataset development for robust model training and evaluation
  • Collaborate closely with cross-functional teams to understand requirements and translate product management, engineering, and business constraints and inquiries into actionable data science questions

Zesty.ai provides risk analytics specifically for the Property and Casualty (P&C) insurance industry using artificial intelligence. Their main product is a Risk Analytics Platform that helps insurance companies assess and manage risks related to natural disasters, property conditions, and changes over time. The platform utilizes high-resolution digital imagery and data from 25 different sources to deliver detailed insights into properties and climate risks. Clients, including commercial and personal lines carriers, managing general agents, reinsurers, and insurance-linked securities investors, subscribe to Zesty.ai’s services to enhance their underwriting and rating decisions. What sets Zesty.ai apart from competitors is its ability to deliver actionable insights quickly, allowing clients to see results in weeks rather than years. The company's goal is to empower insurance companies to improve their risk assessment capabilities and make more informed decisions.

Company Stage

Series B

Total Funding

$44.7M

Headquarters

San Francisco, California

Founded

2015

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

-11%

2 year growth

8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with industry leaders like Duck Creek and COUNTRY Financial enhance ZestyAI's credibility and market reach.
  • The introduction of innovative solutions like Roof Age demonstrates ZestyAI's commitment to addressing key industry pain points with cutting-edge technology.
  • ZestyAI's scalable and easy-to-implement platform ensures clients can quickly benefit from actionable insights, improving their risk assessment capabilities.

What critics are saying

  • The competitive insurtech landscape requires ZestyAI to continuously innovate to maintain its edge.
  • Dependence on accurate data from external sources could pose challenges if data quality or availability is compromised.

What makes ZestyAI unique

  • ZestyAI leverages AI to provide highly accurate risk analytics, setting it apart from traditional risk assessment methods in the P&C insurance industry.
  • The company's use of high-resolution digital imagery and data from 25 comprehensive sources offers unparalleled property insights and climate risk models.
  • ZestyAI's rapid implementation process allows clients to see results in weeks, not years, providing a significant advantage over competitors with longer deployment times.

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