We’re united by a mission: to make the world a safer place. Corvus Insurance uses artificial intelligence to better understand commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex risks through data-driven tools and Smart Commercial Insurance® policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings, and soar with us.

Corvus is reimagining commercial insurance with data science and machine learning playing a critical role. Data Scientists at Corvus are a key component of our mission to find and use alternative sources of data that can help our clients mitigate risk and make the world a safer place.

We’re looking for a full-stack data scientist who isn’t intimidated by the prospect of working with large, messy data sets. You’ll play a critical role in defining how data science can solve business problems, and will be responsible for the full data science life cycle, including defining the problem, prototyping data pipelines and building and implementing data science and machine learning products into client facing systems. Reporting to the Director of Data Science, this is a new and highly visible role in which you’ll work closely with Product Managers, Software Engineers, and Underwriters to expand the reach and impact of our data products.

Responsibilities

• Apply quantitative methods to solve complex data problems involving cyber risk scoring, emerging risk detection, etc…
• Translate product ideas into data science problems, and solve them
• Prototype tools and data pipelines to extract meaningful insight from innovative sources of data
• Clearly communicate analysis and train stakeholders to use our data products
• Work close with engineers to deploy and monitor Data Science Products
• Teach and mentor other Corvids to further our data driven culture

Qualifications

• 6+ years of experience as a Data Scientist
• A background working in cyber security is required
• Deep expertise in machine learning and statistical modeling
• Proven track record of rapid prototyping and development leveraging open source frameworks
• Experience with Python, R or other similar scripting languages