At Fairmatic, we’re on a mission to make roads safer—one fleet at a time.
We’re revolutionizing auto insurance with AI and data-driven insights, offering personalized options that reward safe driving with meaningful savings. Our predictive risk models, trained on 200 billion miles of driving data, have been tested by hundreds of thousands of drivers, proving their real-world impact.
Our leadership team brings together serial entrepreneurs, insurance industry pioneers, and seasoned startup veterans—raising over $88M in funding in under a year.
We’re an insurtech company with AI at our core—but at Fairmatic, AI isn’t just for engineers. We believe everyone can elevate their workflow with the latest AI tools.
Maybe you use ChatGPT to sharpen your communication skills. An AI-powered planner to stay organized. Or perhaps AI fuels your continuous learning and professional growth. However you integrate AI into your daily life, we’d love to hear about it!
As part of our interview process, we’ll chat about how AI fits into your world—no pressure, just a fun, open conversation about the tools that help you work smarter, faster, and better. Who knows, you might even teach us a thing or two!
Join our global team of curious, adaptable technologists and problem-solvers who are passionate about making a real-world difference!
We are looking for a talented Senior Data Scientist for our Risk Intelligence team. Risk Intelligence is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. You will work on automating claims payouts and enhancing other aspects of rating, claims, and customer experience (e.g. insight to improve fleet safety). This role involves continuous experimentation, A/B testing, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
- Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to improve our underwriting and claims settlement processes
- Assess Fairmatic’s modelling techniques, identify improvements and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes
- Create POCs to validate new product ideas and experiments to improve existing predictive models
- Design data collection strategies and their applications for building new products
- Provide technical mentorship to other team members
- Exemplify and foster Fairmatic’s humble, collaborative and impact-obsessed culture
The skills you will bring:
- MSc/Ph.D. in Statistics, Machine Learning, or a related field, with 5+ years of experience as a data scientist.
- High proficiency in statistics, machine learning algorithms, data manipulation and analysis.
- Extensive experience in research-oriented roles, analyzing business problems from a data science perspective, conducting literature research, and implementing and testing solutions.
- Expertise in supervised and unsupervised machine learning models (e.g., GLM, GAM, XGBoost, Deep Learning).
- A proactive approach to staying updated with the latest developments in AI and incorporating them to enhance existing products.
- A product-driven mindset with a knack for transforming research outcomes into impactful products.
- Excellent communication skills, with the ability to articulate experiment goals and methodologies clearly and communicate insights effectively to the team.
Your tech skills should include:
- Hands-on programming experience with Python.
- Experience with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn and pandas.
- Experience with risk models and insurance companies - (not necessary, but useful)
- Experience with telematics data and solution - (not necessary, but useful)
- Experience in deploying production solutions -(not necessary, but useful)
Some of our Tel Aviv Office Benefits & Perks:
Unlimited vacation
Payment for sick leave from day one
Keren Hishtalmut and Pension
Commuter and parking benefits
Hybrid working model
Mobile and home internet allowance
Team events, fully-stocked kitchen, happy hours
Stipends for wellness and entertainment
Paid company trips both nationally and internationally
Awesome Fairmatic gifts and swag!
Top Skills
What We Do
Fairmatic is creating a new commercial insurance category by delivering the first data-driven fleet insurance that rewards safety with savings. Fairmatic’s new approach leverages AI-powered technology in combination with deep telematics data to drive meaningful cost savings for fleets by valuing responsible driving leading to safer roads. The Fairmatic underwriting model has been trained and tested with over 200 billion miles of driving data to help fleets proactively manage safety issues with actionable insights.
Founded by Jonathan Matus, a serial technologist who helped launch Android and Facebook mobile, Fairmatic is fundamentally reimagining commercial auto insurance from the ground up to make roads safer one fleet at a time. Fairmatic has raised a total of $88M from Battery Ventures, Foundation Capital, Aquiline Technology Growth and insurtech, fintech and technology investors, including Jerry Yang, Oren Zeev, and Bill Tai.
Fairmatic is expanding its global team. Learn more about Fairmatic at fairmatic.com or join the team of unconventional, adaptable and curious technologists by reaching out to [email protected].