Lead Data Scientist

AmTrust Financial Services, Inc.

2d•Hybrid

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.
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.