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:
- Advanced degree (MSc required; Ph.D. strongly preferred) in Statistics, Machine Learning, or a closely related field, with at least 7 years of experience working in data science roles.
- 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)
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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].
