Senior Data Scientist

Location: Hybrid/Flexible

At Fairmatic we’re on a mission to make roads safer, one fleet at a time. We think about insurance, risk and underwriting in an unconventional way. Auto insurance has always been unfair: safe and unsafe drivers that look alike pay the same. Because of this, safe drivers end up subsidizing risky ones. It doesn’t make sense. We’re using data and AI to introduce a personalized option that incentivizes safe driving with savings. Our predictive risk models have been trained with nearly 200 billion miles of driving data and tested with hundreds of thousands of paying drivers with industry-leading underwriting results. And we’re just getting started.

Our leadership team includes serial entrepreneurs, insurance industry savants and start-up veterans. We’ve raised $42M from leading VCs as well as insurtech, fintech and technology industry angel investors.

At Fairmatic we do our best work while living our best lives, regardless of where we are. We have thriving teams across the globe and we are constantly looking for talented folks to welcome into the family. We are a curious, adaptable and diverse bunch of technologists and problem solvers who are obsessed with creating a positive impact in the world. In our work together, we strive for close collaboration, humbleness and constant learning.

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.

Requirements

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 modeling techniques, identify improvements and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes
• Lead R&D efforts for doing 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

What you will need:

• MS with 7+ years experience as a data scientist or 3+ years of relevant experience post Ph.D. in Statistics / Machine Learning or related field.
• Wide experience in research-oriented roles; analyzing business problems from a data science perspective, conducting literature research, implementing and testing solutions.
• Expert in supervised and unsupervised machine learning models (GLM, GAM, XGBoost, Deep Learning, etc).
• Strong expertise in using regularisation, feature selection, and feature creation techniques to improve the accuracy of machine learning models.
• Keep yourself up to date with new developments in the AI field and adopt these to improve existing products.
• Hands-on programming experience with R and/or Python.
• Experience with data tools like SQL; Machine Learning frameworks like Keras or PyTorch; and libraries, like scikit-learn and pandas.
• Experience in visualising complex data (ggplot / matplotlib) and extracting actionable insights.
• A product-driven mindset with a knack for transforming research outcomes into impactful products.
• Excellent communication skills -- can articulate experiment goals and methodologies clearly and communicate insights in an easily accessible way to the team.
• Experience with risk models or insurance companies - Advantage

Benefits

• Paid time off
• Meal allowance
• Mobile and Broad Band allowance
• Entertainment allowance
• Wellbeing allowance
• Pension contribution