Predictive Modeler / Data Scientist

Come join our growing organization and talented team! FCCI’s Predictive Modeler/Data Scientist will perform hands-on predictive modeling and in-depth analysis to guide and support strategic business decisions as FCCI continues to grow within our markets.

In this role, you will organize, analyze and execute all phases of quantitative research and machine learning projects, from identifying the business problem to data exploration and modeling. Projects might include performing financial and business modeling to contribute to operational and financial decisions, evaluating the business implications of strategic initiatives, servicing model changes and enhancements, and/or evaluating changes in the market or regulatory environment. Working alongside our collaborative and creative team of Actuaries and Data Scientists, the selected individual will develop and apply complex predictive models using multiple statistical and machine learning techniques, as well as develop new tools and methods to enhance model results.

Position can be located at any FCCI office location, including our corporate headquarters in Sarasota, FL or regional offices in Richardson, TX, Ridgeland, MS, Lake Mary, FL, Glen Allen, VA, or Lawrenceville, GA. This position is eligible for a hybrid remote work arrangement. If interested, you can opt to work (3) days in the office and (2) days working remote.

In exchange for your talents, FCCI offers competitive salaries and an excellent benefits package which includes:

• Flexible Work Environment
• Paid Family Leave
• Competitive PTO & Holidays
• Recognition & Bonus Programs
• Medical, Vision, Dental & Life Insurance
• Employee Referral Bonus
• Paid Volunteer Time
• 401(k) Match & Profit-Sharing

The salary range for this position is $91,389-$140,737 annually. This salary range is an estimate and the actual salary will vary based on applicant’s education, experience, knowledge, skills, and abilities.

We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

Please apply via our website at www.fcci-group.com.

Drug Free Workplace (*Pre-employment drug screen is conducted for all positions)

Experience

• • Bachelor’s Degree in Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, or a quantitative Business discipline; Master’s preferred.
  • Minimum of two years relevant experience in Modeling/Statistics/Actuarial Analysis/Finance/Operations preferably within the Property and Casualty environment. Additional experience strongly preferred.
  • Solid working knowledge of statistical modeling techniques such as linear regression, generalized linear models, data visualization, tree-based models, cluster analysis, principal components and feature creation.
  • Solid working knowledge of R and/or Python statistical and machine learning tools and/or other relevant packages for data management and statistical analysis. Experience with SAS and/or SQL a plus.
  • Solid working knowledge of the P&C industry, including financial statements.
  • Ability to utilize the full spectrum of analytical techniques (predictive modeling, simulation, linear programming, cluster analysis, forecasting, etc.) to answer financial, strategic, and operational business questions.
  • Ability to communicate findings and implications of quantitative studies and analysis with confidence to all levels.
  • Excellent communication, negotiation, interpersonal and organizational skills.
  • Ability to analyze, define and solve problems; the use of good judgment and decision-making.

• • CPCU designation or completion of actuarial exams.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.