Senior Data Scientist

Join a leading life insurance firm offering comprehensive benefits plus unique work environment!

Company Highlights

• Our client is one of the most financially sound Life Insurers.
• They are among the top 5 providers in the United States, servicing 1.3 million customers.
• While this is a large firm, leadership takes pride in preserving a small company feel that offers great potential for advancement.

How the Company Appreciates You

In addition to an exceptional benefits package, this firm offers:

• 2 volunteer days per year to work in a school or at another community-based event.
• Company sponsored athletic teams to provide a work-life balance while instilling teamwork.
• Just for Fun days, such as family picnics, ice cream days and jean days. 

The Role You Will Play

• The Senior Data Scientist will collaborate with partners across the business, especially Underwriting, to tackle a variety of problems using techniques in machine learning and statistical analysis, working to ensure the solutions are ethical and transparent.
• This role will take a project through the modeling lifecycle – translating a business problem into an analytical framework, identifying and pulling together supporting data, building a predictive model, presenting results in a way that is compelling and comprehensible, and working with IT to deploy the solution in production systems.
• The Senior Data Scientist is entrusted with supporting the management of all insurance product lines by creating analytical solutions that are actuarially sound and statistically rigorous.

Community Highlights

• This opportunity is based at the firm’s office in Frederick, Maryland.
• Frederick is located along the Potomac River between southern Maryland and northern Virginia, inland from Chesapeake Bay.
• Frederick was ranked #1 Most Secure Large City by Farmers Insurance ratings, and is also rich in arts, culture, and history.

Background Profile

• 5+ years of experience working on analytical projects including data extraction, predictive modeling, visualization
• Expertise in statistical data analysis and modeling with a tool such as R or Python
• Strong applied experience with standard predictive modeling techniques such as GLMs and Machine Learning models
• Working knowledge of at least one visualization software such as Tableau or Spotfire
• Familiarity with Life insurance or Actuarial science and knowledge of products/features
• Master’s degree in Statistics/Mathematics/Computer Science/Data Science or quantitative field equivalent