Location: Tel Aviv, Israel

About At-Bay

At-Bay combines world-class technology with industry-leading insurance to help clients meet risk head-on. Partnering with brokers and business owners alike, we provide modern insurance products and active risk monitoring services for companies of every size and in every industry. Our team boasts many backgrounds and skills, from analysts and developers to designers and underwriters, and everything in between — all working together to redefine what it means to be an insurance company.

We’re proud to be a diverse company and to have expertise from multiple industries driving our culture. At-Bay is expanding rapidly, and as we grow, we’re prioritizing inclusive hiring practices and supportive team environments. We’re committed to building a company culture where people of all identities and backgrounds are empowered to thrive, develop their career, and bring their full self to work.

At-Bay is a globally distributed company with hubs in Atlanta, New York City, San Francisco, and Tel Aviv. To date, we have raised $292 million in funding from Acrew Capital, Glilot Capital, Icon Ventures, ION Crossover Partners, Khosla Ventures, Lightspeed Venture Partners, M12, entrepreneur Shlomo Kramer, and Qumra Capital.

About The Role

At-Bay is redefining cyber risk and commercial insurance through data and AI. We’re looking for a Data Scientist to join our growing team and help uncover opportunities, accelerate innovation, and deliver impactful machine learning solutions. In this role, you’ll work end-to-end: from research and prototyping, to building production-ready models, to delivering insights that shape the future of our business.

Responsibilities

• Generate insights: Identify new product opportunities and unlock value across diverse business domains using data-driven analysis.
• Develop ML/AI models: Define requirements, integrate data from multiple sources, and build ML/DL/LLM models that automate and scale business processes.
• End-to-end ownership: Conduct research, run POCs, and deliver production-grade models using our MLOps infrastructure.
• Take ownership of initiatives, ensuring solutions are accurate, efficient, and business-impactful.
  
  

Professional Qualifications

• 4+ years of industry experience — must.
• Proven experience with LLMs and advanced prompt engineering — must.
• Strong skills in gathering, sampling, and wrangling data tailored to business use cases — must.
• Proficiency in production-grade Python with hands-on experience running code in production — must.
• Demonstrated ability to take models from research → POC → production.
• Academic degree in a STEM field (Statistics/CS/Math/Engineering) — advantage.
• Experience with LLM fine-tuning.
• Familiarity with NLP and traditional ML approaches — advantage.
• Background in Cyber, Risk, or Insurance — advantage.
• Excellent communication skills with the ability to translate complex findings into actionable insights.
• Business-driven mindset, motivated by impact and results.
  
  

What You’ll Get

• Competitive salary and equity in a hyper-growth company redefining commercial insurance.
• A strong emphasis on work-life balance: Hybrid model, Wellness days, and more.
• Beautiful offices in Azrieli Sarona, Tel Aviv, steps away from train and bus lines.
• A collaborative, fun, and passionate team that loves solving tough problems together.