Insurance Data Scientist
At a glance
Mid-level Data Science role at novella. New York · full-time · no salary stated · we estimate $137,581–$208,900.
novella has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build pricing approaches from past bind, quote and loss records for commercial property and general liability
- Create underwriting scores to judge risk quality and find profitable opportunities
- Use prior quote information to forecast the price offered by the carrier you work with
- Translate model findings into practical underwriting rules alongside the Head of Programs teams
- Check model accuracy over time and adjust it as the portfolio and data evolve
What you bring
- At least seven years in data science or actuarial science, with substantial P&C pricing or underwriting model work
- You have analyzed insurance losses, loss development, exposure and whether rates adequately reflect risk
- You have put models into production and seen them guide underwriting or pricing choices
- You have built underwriting or pricing models from scratch, rather than only maintaining older systems
Who this fits
This is a senior, hands-on role suited to someone comfortable making progress with imperfect insurance data and refining models quickly. You’ll work closely with underwriting teams, building models that inform their decisions.
From the employer
Novella is the first AI native insurance brokerage protecting the largest, most complicated physical assets in the world. Whether it’s sky scrapers on the Miami coast exposed to hurricanes, or rockets going to Mars - Novella’s specialty AI agents are trained to help insurance brokers find coverage for their highest-risk customers.
These high-risk customers are part of a $150 Billion per year market segment called Excess and Surplus (E&S) Insurance. Today, all $150B of E&S premium is sold manually by humans working with humans. Novella is the first brokerage building AI agents that know how to protect these high-risk assets more accurately and more efficiently.
The Role
We're seeking a Senior Insurance Data Scientist to build the pricing and underwriting models that will power Novella's next generation of E&S products. This is a senior, hands-on role. We need someone who has done this before and can hit the ground running.
You'll work with historical bind and loss data to build models that help us price risk accurately, identify profitable segments, and give our underwriting team a data-driven edge. You understand the nuances of insurance data - how messy it is, what signals matter, and how to turn loss and submission data into models that actually work in production.
The ideal candidate has built pricing or underwriting models at an insurance company, MGA, or insurtech. You've seen what good looks like and you know how to get there without a team of 50 people. You're comfortable working with imperfect data, iterating quickly, and deploying models that drive real underwriting decisions.
The Day to Day
- Build and refine pricing models using historical bind, quote, and loss data across commercial property and general liability lines.
- Develop underwriting scoring models that help our team assess risk quality and identify profitable opportunities.
- Use historical quote data to build a model that predicts pricing for the carrier we transact with.
- Partner with our Head of Programs teams to translate model outputs into actionable underwriting guidelines for Novella Programs.
- Continuously monitor model performance and recalibrate as our book grows and new data becomes available.
What We're Looking For
- 7+ years in data science or actuarial science, with significant time spent building pricing or underwriting models in P&C insurance.
- Hands-on experience with insurance loss data, loss development, exposure analysis, and rate adequacy.
- Experience building models that have been deployed in production and used to make real underwriting or pricing decisions.
- Experience building underwriting or pricing models from scratch - not just maintained legacy systems.
- Understanding of E&S or specialty P&C is a strong plus.
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