Senior GenAI Data Scientist at Honeycomb Insurance

Tel Aviv-Yafo, Tel Aviv District, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Insurance, InsurTechIndustries

Requirements

Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field
6+ years total experience in AI/ML or Data Science
3+ years hands-on building and deploying GenAI applications (LLMs, agents, RAG, etc.)
Strong hands-on experience with LLM agents, including multi-agent orchestration, tool use, planning/reasoning, and context-managed conversational systems (e.g., LangGraph, HF Transformers Agents, OpenAI Agents)
Deep expertise in Retrieval-Augmented Generation, vector databases, embedding model selection, and retrieval optimization
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face
Strong NLP and transformer-model knowledge with a track record of applying LLMs to real-world use cases
Strategic, product-oriented mindset with the ability to map AI capabilities to business opportunities
Highly self-driven, curious, and comfortable solving complex problems independently
Experience in regulated domains (insurance, finance), knowledge graphs, or agent observability - an advantage
Familiarity with modern tuning and optimization techniques (PEDFT, LoRA/QLoRA, PPO, GRPO, etc.) - an advantage

Responsibilities

Design, develop, and ship advanced agentic workflows and GenAI applications end-to-end
Build, optimize, and productionize RAG pipelines for grounding LLMs in insurance-specific data
Integrate LLM agents with APIs, policy/claims systems, and internal business tools
Own technical solutions for LLM evaluation, observability, versioning, safety, and error handling

Skills

Key technologies and capabilities for this role

GenAILLMRAGagentic workflowsLLM evaluationobservabilityPythonAPIs

Questions & Answers

Common questions about this position

What education and experience are required for the Senior GenAI Data Scientist role?

A Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field is required, along with 6+ years total experience in AI/ML or Data Science and 3+ years hands-on building and deploying GenAI applications.

What technical skills are essential for this position?

Key skills include strong hands-on experience with LLM agents (e.g., LangGraph, HF Transformers Agents), deep expertise in Retrieval-Augmented Generation, vector databases, embedding models, and proficiency in Python with ML frameworks like PyTorch, TensorFlow, scikit-learn, or Hugging Face.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position, or where is it located?

This information is not specified in the job description.

What kind of company culture can I expect at Honeycomb?

Honeycomb fosters a culture where innovation is celebrated, employees feel deeply connected to the mission and each other, and smart people challenge you to be better every day, as recognized by awards like 'America’s Greatest Startup Workplaces.'

Honeycomb Insurance

Real estate insurance for property owners

About Honeycomb Insurance

Honeycomb Insurance simplifies real estate insurance for condo associations, homeowners associations (HOAs), building owners, property managers, and developers. The company provides instant quotes and cost savings of up to 40% by using advanced technology and expert advice. Unlike competitors, Honeycomb focuses on a people-centered, tech-driven approach that streamlines the insurance process. Its goal is to make real estate insurance more efficient and accessible for a diverse range of clients.

Chicago, IllinoisHeadquarters

2019Year Founded

$53.2MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

Stock Options

401(k) Retirement Plan

Unlimited Paid Time Off

Paid Holidays

Risks

Increased competition from other AI-driven insurtech firms could erode market share.

Regulatory challenges may arise as Honeycomb expands into new states.

Cybersecurity threats could compromise Honeycomb's technology and client data.

Differentiation

Honeycomb offers instant online condo building master policies, a unique market proposition.

The company uses AI to bypass traditional property inspections, enhancing efficiency.

Honeycomb's tech-driven model provides up to 40% cost savings for clients.

Upsides

Recent $36M Series B funding supports expansion and AI innovation.

Operating in 16 states, Honeycomb plans to triple insured assets next year.

AI-driven underwriting reduces costs and improves risk assessment accuracy.

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