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Data Scientist

Location: Lincoln, RI, United States
Job Type: Permanent
Job Category: Information Technology
Job Industry: Insurance
Salary: The pay we're offering is $130,000 per year
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The Opportunity

Description

We're looking for a Data Scientist, working in Insurance industry in Lincoln, Rhode Island, United States.

  • Work alongside actuaries and other data professionals to build and evaluate our pricing and other enterprise models.
  • Communicate findings and trends to key stakeholders across the company.
  • Navigate projects through the entire data science lifecycle, from problem definition to data exploration, data wrangling, modeling, analysis, and deployment into production.
  • Maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored on an ongoing basis.
  • Be a member of a diverse and highly skilled team, working in a highly collaborative, team environment to drive strategically aligned business outcomes.

Our Client

Our client reimagines value. Customers’ value. Your value. Through digital disruption. Building and managing enterprise IT systems. Advising, designing, and executing. At the front of technical innovation.

Making a difference worldwide via offices throughout the United States, plus Canada, Europe, Mexico, and India. Making a difference for motivated people like you. People who rate them 3.9 on Glassdoor with a 76% recommendation. People who like to create.

Do you like to contribute? Compete? Create your own opportunities? Be supported with professional development and mentorships? Participate in volunteer and team-building events? Recharge with days off? Reimagine YOUR value. There is no chance like this. There is no time like now.

Experience Required for Your Success

  • Bachelor’s or Master’s degree in data science, computer science, operations research, statistics, applied mathematics, or a related quantitative field (PhD or insurance designations such as ACAS desirable)
  • 3 years experience in an insurance pricing role
  • Experience leading predictive modeling projects involving new rating structures
  • Knowledge of when to apply predictive modeling techniques such as logistic regression, time series, neural networks, random forest, boosting, text mining, clustering, deep learning, optimization, etc.
  • Proficiency in analytical programming languages like SAS, R, Python, etc.
  • Experience exploring and manipulating large amounts of structured and unstructured data using SQL
  • Excellent communication and presentation skills, including storytelling and other methods to guide, inspire, and provide insights to non-technical stakeholders
  • Intellectual curiosity, and drive to learn and master new technologies and techniques
  • Passion for extracting actionable insights that enhance business outcomes

What Do You Think?
Does your experience reflect what it takes to be successful in this role? Do the work and challenges get you excited about what's possible? Apply Now

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