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. In this role, you’ll work closely with 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 modeling, natural language processing for industry classification, emerging cyber risk detection, etc...
• Prototype tools and data pipelines to extract meaningful insight from innovative sources of data
• Work closely with engineers to deploy and monitor Data Science Products
• Collaborate with Underwriters and Actuaries to implement and act on findings from your work
• Enable users across the organization to interact with and act upon our repository of security data

Qualifications

• 2+ years of experience as a Data Scientist or other quantitative role
• A background working in cyber security is required
• Experience with machine learning and statistical modeling
• Experience with Python, R or other similar scripting languages
• Expertise with SQL or other database querying language
• Proven track record of rapid prototyping and development leveraging open source frameworks