Lead Data Scientist

AmTrust Financial Services, Inc.

91d

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!

Requirements

• MA/MSC/Ph.D. in Computer Science, Statistics, Data Science, Economics or other quantitative field.
• At least 5 years’ experience in developing and implementing predictive models across the life cycle of the claim for commercial insurance.
• Knowledge of embedding various 3rd party commercial insurance data sources into models and claim applications.
• Proficiency in Python and R.
• Experience with machine learning algorithms (i.e. GLM, Boosting, Deep Learning, etc.).
• Familiarity with model performance measures and validation techniques (i.e. K-fold cross-validation, train/test split, etc.).
• Experience with SQL and relational databases (both transactional and analytical environments).
• Ability to deploy predictive models into production.
• Experience with collaborative development and version control systems (i.e. Git).
• Ability to communicate complex data in a simple, actionable way.
• Ability to visualize data effectively for projects or studies.
• Strong 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.
• Experience in developing effective monitoring of predictive models’ performance.
• Experience supporting other business functions (e.g. Loss control, Operations, Marketing, Pricing).
• Comfort with Unix-like operating systems and shell environments (i.e. Bash).
• Experience with deep learning frameworks like Tensorflow or PyTorch and associated high-level APIs like Keras.
• Familiarity with numpy, pandas, sklearn, matplotlib.
• Experience with dplyr, data.table, ggplot2.
• Web-application development skills (Javascript, Node, Flask, Shiny, etc.).
• Experience with web-scraping.

Responsibilities

• Lead projects and unveil insights in data to improve claims decision-making process at operational and strategic levels.
• Use the latest machine learning algorithms to develop predictive models for claims development.
• Help predict the development of claims more accurately and handle claims more effectively.
• Understand and serve customers more thoroughly.

Benefits

• Medical & Dental Plans.
• Life Insurance, including eligible spouses & children.
• Health Care Flexible Spending.
• Dependent Care.
• 401k Savings Plans.
• Paid Time Off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree