Senior Data Scientist at Honeycomb Insurance

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

22 Aug, 26

Salary

0.0

Posted On

24 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Tabular Data Modeling, Machine Learning, Production Deployment, CI/CD, Data Validation, Python, Tree-based Models, Linear Models, Ensembling, Time-dependent Models, LLMs, Tabular Foundation Models

Industry

Insurance

Description

Honeycomb 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 and named by LinkedIn as “Top 10 Startups in Chicago”. 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 5 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 $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% 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 our automatic decisions group, focusing on tabular data prediction team, which is responsible for building highly reliable systems that power automated decision-making across our product. In this role, you will design and implement robust models and data-driven systems that directly influence underwriting, risk assessment, and core business workflows. You will champion best practices, drive measurable performance gains, and help shape the architecture of high-scale, production-grade ML systems. What You’ll Do: Build and improve tabular models that drive automated decisions and efficiency at scale Work on projects such as expected lifetime revenue, renewal rate, chance to bind, expected underwriter decision, and priority queue Own projects end-to-end: from framing the problem with stakeholders to deploying and monitoring in production Bring an impact-driven, accountable and independent mindset - a positive team player Requirements MSc. or PhD in Computer Science, Physics, Electrical Engineering, Applied Math, or a related field. 5+ years of hands-on experience developing and deploying data science or machine learning solutions, with strong expertise in tabular data modeling (e.g., tree-based models, linear models, ensembling, time-dependent models). Experience with production deployment of ML models, including monitoring, CI/CD, data validation, and system reliability. Ability to independently initiate, plan, and drive ML projects end-to-end. Strong coding skills and familiarity with modern ML tooling and best practices. Team player, positive, driven, independent, and a fast learner. Familiarity with tabular foundation models and LLMs - advantage Why Honeycomb Build foundational AI systems in a sector ripe for innovation and modernization See your work deployed quickly with immediate customer and business impact Collaborate directly with product, engineering, and executive teams—minimal bureaucracy High autonomy, fast development cycles, and meaningful equity ownership Be part of a mission-driven company redefining what insurance technology can be

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Responsibilities

Design and implement robust tabular models to power automated decision-making for underwriting and risk assessment. Own the end-to-end ML lifecycle from problem framing with stakeholders to production deployment and monitoring.