Fetch
Pet Insurance
PricingDataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Pricing Data Scientist at Fetch. Skills: Predictive Modeling, Forecasting, Ratemaking. Identify deficiencies in risk segmentation. Build predictive models”
Industry & Context.
What They're Looking For.
Must Have
At least three years of experience working within P transit accessible
What You'll Do.
Identify deficiencies in risk segmentation
Build predictive models
Develop models to assess impact
Revise rating for territories
Review pricing for limits
Forecast key financial metrics
Estimate impact of coverage
Support rate indications
Support regulatory filings
Full Job Description
About Fetch At Fetch, we’re dedicated to helping pets live their healthiest and happiest lives. Our comprehensive insurance coverage is designed with modern pet parents in mind, and we’re proud to support the veterinary, shelter, and breeder communities. We believe in ensuring pets receive the best care possible and are committed to making that vision a reality every day. Fetch is a high-growth Warburg Pincus portfolio company with an expanding team of over 350 pet-loving employees working together to shape the future of pet health and wellness. About the Industry The pet insurance industry is more important than ever, offering peace of mind and financial protection for pet owners. The sector is expanding quickly, fueled by growing awareness of the need for accessible, high-quality veterinary care. With advances in veterinary medicine, pets now have access to the most effective treatments available, making pet insurance an essential component of modern pet care. About the Role Overview The Pricing Data Scientist will play a pivotal role in supporting Fetch's best-in-class pricing and portfolio profitability. This role will be an integral contributor to a wide range of pricing initiatives with time split between predictive modeling, forecasting, and traditional ratemaking. In this role, you will apply predictive analytics to help improve existing pricing models, support the development of product changes, contribute towards the development of new and innovative coverages and products, and assist with regulatory filings, rate indications, and process modernization. This role will be involved in other special projects as needed including financial forecasting, regulatory research, and lifetime value modeling. Location Remote (U.S.) Key Responsibilities Primary Responsibilities: Identify deficiencies in risk segmentation and build predictive models (GLMs, GBMs, etc.) to support rating revisions. Develop models to assess the impact of pricing changes on conversion, churn
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