Coalition is looking for a data scientist to join our rapidly growing data science team to solve underwriting challenges. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our underwriting system. you will be responsible for growing our revenue in a safe and efficient manner, from informing pricing strategies to better market segmentation to identifying/executing on further automation opportunities.
This role requires an ability to partner with our head of underwriting and other key stakeholders to quickly identify emerging trends in our underwriting data and effectively communicate clear, actionable strategies across the company.
Responsibilities
Skills and Qualifications
Bonus Points
Why Coalition?
Coalition's culture is one that strongly values humility, authenticity, and diversity. We want to work with people of different backgrounds and different paths in life, and we trust our team members to take responsibility, share ownership and work for one another. We are always looking for collaborative, inquisitive and dedicated individuals to join our team.
Coalition Engineering
Our culture is one of character, humility, responsibility, purpose, and authenticity. We are growing rapidly and that growth is enabled by strong teamwork, communication, and mentorship. We want people who are passionate about becoming experts in both the business and the technologies that support it. Our core platform is written mostly in Python with some services in Java and Go. We prefer to use the right tool for the job and make pragmatic decisions about how to scale and de-couple systems as we continue to grow. We’re looking for someone who can navigate a cloud environment (AWS) with many moving pieces and systems to help the team understand how they fit into the broader puzzle.
Coalition is the world’s first Active Insurance company, designed to prevent digital risk before it strikes. The team at Coalition brings together in-depth technology, cybersecurity, and insurance expertise, applying near real-time data to help organizations assess, prevent, and cover an emerging set of digital risks.
San Francisco, CA, USA
6-8 year