Lead Data Scientist in Lansing, MI at Accident Fund Holdings, Inc

Date Posted: 9/28/2020

Job Snapshot

  • Employee Type:
  • Location:
    Lansing, MI
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:

Job Description


The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling and data mining. This would include developing and testing predictive risk models; interact, understand and articulate the complex mathematical and computational learning concepts (to appropriate staff).In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals.


Responsibilities will be multi-disciplinary and will include:

  • Provides technical and quantitative analysis for predictive modeling group.
  • Assists in statistical data mining and actuarial research by applying advanced statistical concepts.
  • Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.
  • Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.
  • Conducts research utilizing predictive modeling.
  • Interprets data and identifies correlations using both univariate and multivariate analysis.
  • Participates in and is responsible for advanced projects.
  • Presents findings and recommendations to appropriate groups.
  • Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.
  • Communicates and trains users on model results.
  • Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.
  • Document model requirements.
  • Examine and analyze data to determine optimal modeling approach.
  • Identify candidate risk factors.
  • Build models using training, test, and cross-validation data sets.
  • Share model results.
  • Finalize model.
  • Delivers conclusions.
  • Deploy and maintain models with or without the assistance of the IT department.
  • Oversees predictive model projects from development through implementation and post deployment, as assigned.
  • Assigns project tasks to team members and oversees results and manages projects.
  • Mentors other team members in project management and provides guidance to the team.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

Job Requirements



Bachelor's degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged.


Minimum 10 years of progressively responsible experience in research, modeling or actuarial required, including at least 3 years of experience leading project teams. Workers compensation experience is preferred.


  • Excellent interpersonal, organizational and communication skills.
  • Ability and proficiency in the use of computers and company standard software specific to position. General familiarity with the following software: SAS, R, SQL.
  • Strong database management skills.
  • Ability to provide direction to other department analysts.
  • Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction.
  • Ability to work effectively as a member of a team.
  • Resourceful problem solving skills and desire to succeed.
  • Knowledge of insurance and underwriting techniques, agency and policyholder needs.
  • Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision.
  • Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude.
  • Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations.
  • Ability to manage responsibilities as unexpected pressures/dilemmas arise.
  • Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making.
  • Ability to maintain confidentiality.
  • Expert knowledge of statistical modeling and data mining techniques.
  • Expert knowledge of modeling software and data manipulation techniques.
  • Ability to lead a project team in the full scope of project assignments.
  • Ability to serve as a mentor to others.


Work is performed in an office setting with no unusual hazards. Minimal travel may be required.

The qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description.

We are an Equal Opportunity Employer. Diversity is valued and we will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.


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