Actuarial Data Scientist

Job Category: Data Scientist
Job Type: Full Time
Job Location: United States
Company Name: RealREPP

Company Overview

RealREPP excels in contingency, retained, consultant, and interim searches for your specialized & corporate hiring. We match top candidates with industry leading opportunities. You’ll experience friendly customer service & customized candidate panels faster! Specialties in: C-Suite Executives to Administrative. Corporate roles, Accounting, Finance, Technology, Real Estate, Construction, Property Management, Asset Management, IT, Marketing, Finance, Public Accounting, Logistics, Bio-Life Sciences, Sustainability, Financial Services. You name it & we have you covered. With over 30 years of professional experience, RealREPP combines the continuity and business acumen of a century-old search firm with a forward-thinking, results-driven approach focused around lasting client relationships. Shared values at RealREPP are the rock solid foundation of the Company and our Culture. As an industry leading Recruiting and Management Consulting Company, we are dedicated to providing excellence in Customer Service to our clients. In every sense, we strive to meet your real estate needs. We believe that interpersonal business relationships should be built. We all need one another & are connected in success and in failure. Client Relationships: To help your company stay ahead of the market, at RealREPP we provide specialized and custom searches where finding that perfect candidate for you is our first priority. Whether your needs are big or small, we are driven to help our clients find the premiere candidates with the right blend of company culture & professionalism. Candidates Relationships: We understand that looking for a job can be difficult that’s why we are dedicated to make this process an enjoyable transition into your new role. It is our mission to connect you with the best opportunity at any given point in your career. Confidentiality: At RealREPP, we value our business partners and maintain that privileged information is treated with the strictest of confidence.

About the job

RealREPP, a full service recruiting firm, is currently partnered with a direct seller insurance company with a national presence in recruiting for an Actuarial Data Scientist to work alongside actuaries and other data professionals to build and evaluate pricing and other enterprise models. You will navigate projects through the entire data science lifecycle, from problem definition to data exploration, data wrangling, modeling, analysis, and deployment into production. You will maintain a close partnership with IT to ensure that models can be deployed quickly and monitored on an ongoing basis.

This opportunity offers an excellent base salary + industry leading benefits package along with a collaborative and innovative company culture.

Requirements

  • 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.
  • Minimum of 3 years’ experience in an insurance pricing role
  • Experience leading predictive modeling projects involving new rating structures
  • Demonstrate 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

If you are interested in this opportunity, please apply directly. All qualified candidates will be contacted directly.

*We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.*

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