Data Scientist - Insurance pricing
Tel-Aviv
Technology – Data Science /
Full-time /
Hybrid
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.
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 Insurance Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve Fairmatic’s pricing models and rate plans, using advanced modeling techniques, continuous experimentation, 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
- Develop and refine predictive pricing and risk models using statistical and machine learning techniques to improve underwriting accuracy and pricing fairness
- Evaluate existing rate structures and pricing methodologies, identifying opportunities to enhance predictive performance and business impact
- Collaborate with actuarial and underwriting teams to ensure models align with regulatory and business requirements
- 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
- Exemplify and foster Fairmatic’s humble, collaborative and impact-obsessed culture
The skills you will bring:
- MSc (or higher) in Statistics, Machine Learning, Applied Mathematics, or a related quantitative field.
- 4+ years of experience as a data scientist, with significant focus on insurance pricing or underwriting analytics.
- Strong domain expertise in insurance pricing workflows, including rate plan development, evaluation, and optimization.
- 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
- Proven experience working on pricing within an insurance company is required.
- Experience with telematics data and solution - (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, a fully-stocked kitchen, and happy hours
Stipends for wellness and entertainment
Paid company trips both nationally and internationally
Awesome Fairmatic gifts and swag!
