Honeycomb Insurance
At Honeycomb, we're not just building technology; we’re reshaping the future of insurance.
In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel, named by LinkedIn as “Top 10 Startups in Chicago”, and Newsweek’s "Greatest Startup Workplaces in America, 2025". Through the first half of 2026 we’ve been recognized on Inc. Magazine’s "Best Workplaces" List and Forbes "Fintech 50".
How did we earn these honors?
Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 6 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another.
With over $100B in insured assets, Honeycomb operates across 23 states, covering more than 65% of the U.S. population and increasing its coverage.
If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for.
- About The Role
We are looking for a Senior Data Scientist to join Honeycomb's AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.
In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.
What You'll Do
- Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal.
- Work across the team's core research areas — risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes
into reliable predictive signal.
- Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
- Design approaches from first principles when off-the-shelf methods don't fit the data.
- Build rigorous evaluations and own the result in production, not just the notebook.
- Document research clearly so findings are reproducible, auditable, and compound over time.
Requirements
- MSc. or PhD in Statistics, Applied Math, Physics, or a closely related quantitative field.
- Real research experience - a track record of driving original investigations end-to-end (academic research, a research-heavy PhD, industry R&D, or equivalent), not
only applied ML delivery.
- Strong mathematical or statistical problem-solving instincts - able to model a messy real-world system from scratch, not just apply a library.
- Production deployment experience: monitoring, CI/CD, data validation, reproducibility.
- Ability to independently initiate, plan, and drive entire research directions.
- Team player, positive, driven, independent, fast learner.
Advantages
- Depth in classical statistics, causal inference, or applied probability.
- Deep learning experience.
- Clean coding and repository-maintenance habits.
Skills Required
- MSc or PhD in Statistics, Applied Math, Physics, or closely related quantitative field.
- Proven research experience driving original investigations end-to-end (academic or industry R&D).
- Strong mathematical/statistical problem-solving instincts; ability to model messy real-world systems from scratch.
- Production deployment experience including monitoring, CI/CD, data validation, and reproducibility.
- Ability to independently initiate, plan, and drive entire research directions.
- Team player with positive, driven, independent attitude and ability to learn quickly.
- Depth in classical statistics, causal inference, or applied probability.
- Deep learning experience.
- Clean coding and repository-maintenance habits.
Honeycomb Insurance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeycomb Insurance and has not been reviewed or approved by Honeycomb Insurance.
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Healthcare Strength — Employees receive comprehensive medical, dental, and vision coverage, including 100% premium coverage for employees and additional support such as an HSA with company contributions.
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Flexible Benefits — A broad set of allowances and reimbursements is described, including a $600 annual perk allowance and support for home office setup plus monthly internet/phone/co-working reimbursements.
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Equity Value & Accessibility — Equity is positioned as a meaningful part of total rewards through stock options/RSUs with multi-year vesting, framed as valuable in a growth-stage company context.
Honeycomb Insurance Insights
What We Do
Honeycomb was built to disrupt the real estate insurance industry. Using Artificial Intelligence and computer vision, we offer apartment buildings, condominium associations and single-family rental dwellings perfectly customized policies at unbeatable rates. Our digitally-native platform makes purchasing insurance an easy and transparent process for property owners, property managers associations directors, and retail agents.
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