Data Scientist, Analytics (Remote, Canada)

ZestyAI is an artificial intelligence-powered risk decision platform focused on property and casualty (P&C) insurance, providing insurers with granular, data-driven insights to assess and price climate-related and other property risks. The platform offers AI models for wildfire, hail, wind, severe storm, non-weather fire, and non-weather water risks, enabling carriers to make more precise underwriting, pricing, and reinsurance decisions. ZestyAI serves actuarial, underwriting, and executive teams at leading insurance carriers across the United States. ZestyAI's climate relevance lies in its mission to help the insurance industry accurately quantify and respond to the escalating risks posed by climate change, including wildfires and severe weather events. By providing property-level risk scores and insights informed by satellite imagery, aerial data, and machine learning, the company enables insurers to better understand exposure to climate-driven perils, supporting more sustainable and resilient insurance markets. The platform has gained regulatory approval in multiple states, underlining its credibility in addressing complex climate risk modeling challenges. What distinguishes ZestyAI is its combination of AI-native modeling, regulatory trust, and breadth of risk coverage across both weather and non-weather perils. Its ZORRO Discover product provides competitive intelligence and market benchmarking, while its property insights tools offer roof age and structural data at scale. The company is trusted by top insurance carriers and positions itself as a critical infrastructure layer for data-driven decision-making in an era of increasing climate volatility.

Data Scientist, Analytics

(Remote, Canada)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats.

ZestyAI uses novel data gathering and data science methods to produce higher quality information about the risks to property from catastrophes like storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become more prepared for them, and ultimately that will lead to better outcomes.

As a Data Scientist, Analytics, you will work closely with product, engineering, and machine learning teams to apply data science to complex product and business problems.You will use diverse data sources to evaluate product performance, generate actionable insights, and support evidence-based decision-making across ZestyAI’s products.You will also help establish the analytical processes, monitoring frameworks, and best practices needed to maintain product quality and scale the organization. You thrive in a collaborative, creative environment that moves fast and are comfortable implementing structures and processes to help the company scale.

The Opportunity:

• Translate product management, engineering, and business questions into structured analytical approaches, applying appropriate statistical, experimental, and data science methods to measure product performance and guide decision-making
• Own data quality of ZestyAI data products
• Spearhead product monitoring and quality assurance by designing and owning dashboards and KPIs
• Develop automated ETL and data workflows
• Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with

What You Bring to the ZestyAI Team:

• BA / BS degree in Math, Physics, Engineering, Computer Science, or Economics
• MS or Ph.D. is certainly a bonus
• 2–3 years of experience in analytics, data science, or related roles, including experience building data workflows, defining metrics, and developing dashboards or monitoring tools
• Strong organizational and management skills with past experiences implementing best practices and processes
• Strong analytical problem-solving skills and comfort working with ambiguous, cross-functional questions
• Proficient in SQL
• Proficient in programming language (Python or R)
• Experience working with cloud platforms (Google Cloud Platform, AWS, etc)
• Must be legally eligible to work in Canada

Nice to Have:

• 1 - 2 years of experience working with imagery and/or geospatial data
• Working knowledge of modeling framework and performance metrics
• Familiarity with, or an interest in, experimental design, causal inference, and applied statistical methods
• DBT Experience
• Prefect (or another workflow tool like Airflow) Experience
• Data Visualization Experience

Why ZestyAI:

• Be part of a well-funded growth-stage company
• Market competitive comp and equity incentives to give you a stake in our future
• Comprehensive health care plan
• Flexible Time Off
• An upbeat and collaborative work culture
• Company-sponsored outings and offsites