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 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)