Data Scientist

As an experienced Data Scientist, you will lead projects and unveil insights in our data that will allow us to improve our claims decision-making process both at an operational and strategic level. You will use the latest machine learning algorithms to develop predictive models to help us predict the development of claims more accurately, handle claims more effectively, and understand and serve our customers more thoroughly.

Qualified applicants would have an MA/MSC/Ph.D. in Computer Science, Statistics, Data Science, Economics or other quantitative field, and at least 5 years' experience in the following skill areas:

• Developing and implementing predictive models across the life cycle of the claim for commercial insurance (FNOL, claim severity, triage, settlement, litigation support, etc.)
• Knowledge and familiarity with embedding into the models and claim applications various 3rd party commercial insurance data sources
• Python and R
• Machine learning algorithms (i.e. GLM, Boosting, Deep Learning, etc.)
• Model performance measures and validation techniques (i.e. K-fold cross-validation, train/test split, etc.)
• SQL and relational databases (both transactional and analytical environments)
• Deploying predictive models into production
• Collaborative development and version control systems (i.e. Git)
• Ability to communicate complex data in a simple, actionable way
• Ability to visualize data in the most effective way possible for a given project or study
• Analytical and problem-solving skills
• Ability to work independently and with team members from different backgrounds
• Excellent attention to detail

Bonus points for experience in:

• Strong leadership and managerial capabilities
• Familiarity with cloud environments and services
• Developing effective monitoring of predictive models' performance
• Experience with supporting other business functions (e.g. Loss control, Operations, Marketing, Pricing)
• Unix-like operating systems and comfort in the shell environment (i.e. Bash)
• Deep learning frameworks like Tensorflow or PyTorch and associated high-level API's like Keras
• numpy, pandas, sklearn, matplotlib
• dplyr, data.table, ggplot2
• Web-application development (Javascript, Node, Flask, Shiny, etc.)
• Web-scraping

We are looking for a strong communicator who is comfortable with immersing themselves deeply within a business process, learning new things, and finding unique and creative ways to help us grow. If you tend to think of yourself as part engineer, part statistician, part computer scientist, part detective, and part project manager then what are you waiting for? Apply today!

AmTrust Financial Services offers a competitive compensation package and excellent career advancement opportunities. Our benefits include: Medical & Dental Plans, Life Insurance, including eligible spouses & children, Health Care Flexible Spending, Dependent Care, 401k Savings Plans, Paid Time Off.

Do you enjoy solving difficult problems? Are you resourceful? Do you enjoy working with data? If so, AmTrust is looking to add a talented experienced Data Scientist to their growing Data Science & AI Team with specific commercial insurance experience. AmTrust Financial Services Inc. is a multinational property and casualty insurer specializing in coverage for small to mid-sized businesses. We love finding new and innovative ways to use our data and technology to provide a top-notch customer experience and we want your help! This position will require hybrid attendance in an AmTrust location and is posted remotely for nationwide visibility., AmTrust strives to create a diverse and inclusive culture where thoughts and ideas of all employees are appreciated and respected. This concept encompasses but is not limited to human differences with regard to race, ethnicity, gender, sexual orientation, culture, religion or disabilities. AmTrust values excellence and recognizes that by embracing the diverse backgrounds, skills, and perspectives of its workforce, it will sustain a competitive advantage and remain an employer of choice. Diversity is a business imperative, enabling us to attract, retain and develop the best talent available. We see diversity as more than just policies and practices. It is an integral part of who we are as a company, how we operate and how we see our future.