Lead Data Scientist
Job Summary
Job Description
As a Lead Data Scientist, you will be at the core of our Research and Risk team, focusing on developing and improving machine learning models to predict claims frequency, claims severity, and fraud detection. You will research advanced modeling techniques, continuously experiment, and iteratively productize your learnings. Collaborating with various teams, you will translate business goals into actionable research and ensure its successful deployment and scaling. This role also involves technical leadership, coaching, and fostering a collaborative culture.
Must have:
- MSc/Ph.D. in Statistics/Machine Learning, with 7+ years experience
- Proficiency in statistics, machine learning, data manipulation and analysis
- Experience in research-oriented roles
- Expertise in supervised/unsupervised machine learning models (e.g., GLM, XGBoost)
- Hands-on programming experience with Python and machine learning frameworks
- Excellent communication skills
Good to have:
- Experience with risk models and insurance companies
- Experience with telematics data and solution
- Experience in deploying production solutions
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!
7 skills required
Job Details
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 Lead 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 the machine learning models predicting claims frequency, claims severity and fraud detection. This role focuses on researching 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
- Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to enhance pricing, loss prediction, and rate plan optimization
- 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
- Translate business goals into actionable research and ensure the research contributions align with company-wide objectives
- Collaborate with engineering and product leads to ensure the successful deployment and scaling of research-driven solutions
- Serve as a technical leader and coach for the Data Science team, helping to shape team processes and best practices
- 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 7+ 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.
- Experience managing stakeholders and prioritizing across multiple business and technical needs.
- 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
- 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, a fully-stocked kitchen, and happy hours
Stipends for wellness and entertainment
Paid company trips both nationally and internationally
Awesome Fairmatic gifts and swag!
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