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)
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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].
