Demo

Data Scientist

Kinsale Insurance Company
Richmond, VA Full Time
POSTED ON 1/23/2025
AVAILABLE BEFORE 4/22/2025

Kinsale Insurance is an excess and surplus (E&S) lines insurance company located in Richmond, VA. We pride ourselves on our quantitative, data-driven approach to insurance. Our Analytics & Actuarial team works directly with other business segments to drive both profitability and operational efficiency. Kinsale is a leader both in the E&S insurance industry and within the Richmond community, and can help you discover a career ripe for advancement and financial success. This is a unique and exciting opportunity that provides exposure to a variety of insurance products and business segments.

The Analytics & Actuarial team at Kinsale is responsible for all the analytical work done at the company including actuarial pricing, reserving, capital modeling, catastrophe modeling, data science, KPIs, and reinsurance. Ultimately, we are interested in assembling the best team possible, which means you do not need experience in all the areas above to be considered. Your prior experience and areas of interest will determine your specific responsibilities.

Responsibilities

Your prior experience and areas of interest will play a large role in determining your responsibilities. Possible technical responsibilities include :

  • Collaborate with actuaries on core analyses including, pricing, reserving, and reinsurance
  • Fine-tuning rating variables using both internal and external data
  • Developing rating plans for new insurance products
  • Utilizing third-party data to enhance existing pricing algorithms
  • Designing experiments such as A / B tests or other experimental designs to enhance marketing strategy
  • Identifying other functional areas where predictive modeling and / or machine learning can improve operational efficiency and profitability
  • Communicating results to others, both inside and outside of the department
  • Meeting with other departments and designing solutions to meet their needs
  • Managing multiple projects at once and meeting various deadlines as required
  • Taking ownership of your work - performing reasonability checks and accuracy checks prior to sharing results
  • Enhancing existing analyses and projects including further automation, creating new exhibits, utilizing new methods, etc.
  • Performing technical reviews and conceptual reviews for others
  • Being able to complete challenging tasks independently
  • Training and mentoring newer team members as needed - providing technical help as well as educating them on general statistical concepts

Qualifications

  • Bachelor's Degree
  • 5 years experience in an analytical role
  • Very strong knowledge of statistical and machine learning techniques, including but not limited to GLM / GAMs, clustering and other unsupervised methods, and non-parametric approaches such as boosting and random forests
  • Advanced knowledge of at least one programming language with a demonstrated ability to learn new languages as needed
  • Excellent communication, presentation, and interpersonal skills
  • Creative analytical and problem-solving skills
  • Excellent time management and prioritization skills
  • Responsive, internally motivated, and able to work independently
  • A compelling candidate will have :

  • Advanced Degree in a quantitative field
  • Prior insurance experience
  • Very strong SQL skills
  • Strong knowledge of Python and statistical / machine learning packages such as numpy, scipy, statsmodels, scikit-learn, and pandas
  • Prior experience working with RESTful APIs
  • At Kinsale we offer the following great benefits :

  • Competitive salary with performance-based bonus opportunities
  • Single and Family Health, Dental and Vision Insurance plans with HSA funds contributed
  • Short-Term and Long-Term disability
  • Life Insurance
  • Matching 401(k) starting day one
  • Generous Paid Time Off and Holidays
  • Education dollars for training and certifications
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