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Posted 27d ago (Dec 13, 24)

Data Scientist

United States$104.3k - $143.45kFull-timePythonTableauSpotfireSQLMicrosoft ExcelWord

At Legal & General America, we aim to make a positive difference in the lives of our customers, partners, colleagues, and the communities in which they live. As a recognized market leader of term life insurance, we’re working to transform our business through innovation and technology to provide products and solutions that help American families secure their financial futures.

We are a future-focused company, passionate about what we do and how we do it. This means working with pace and energy to reach our goals, and challenging ourselves to achieve more. We strive to create a unique environment where balance between work and life is possible. Our employees' passion, dedication and hard work, as well as our career development opportunities, benefits, and employee activities contribute to our positive workplace culture.

The Data Scientist will support the management of all insurance product lines by creating advanced statistical, predictive, and machine learning models focused on:

  • Developing and maintaining the capability to understand and proactively influence the drivers of customer behavior.
  • Optimizing the use of data in the risk pricing and underwriting process.
  • Designing experiments, testing hypotheses, building Machine Learning models/pipelines, and conducting advanced data analysis.

Responsibilities

  • Analyze and solve analytics problems and communicate the results, advantages, and limitations of the methodologies used in the analysis.
  • Define the validity of information, how long the information is meaningful, and what other information it relates to.
  • Identify necessary data required to support initial and ongoing modeling including selecting features, building, and optimizing data using predictive modeling. Collaborate with subject matter experts to select relevant sources of information. Procure data directly from relevant platforms, internal and external providers, or by working with IT resources.
  • Model and frame meaningful business scenarios that will impact critical business processes and/or decisions, creating machine learning models and pipelines.
  • Develop a set of actionable parameters and support the creation of business models based on those parameters that are designed to influence customer behavior with respect to profitable levels of persistency and mortality.
  • Research current and emerging underwriting data and risk assessment algorithms based on that data, develop a set of actionable parameters for nontraditional underwriting factors, and support the creation of business models that supplement or replace traditional underwriting requirements.
  • Work in conjunction with business analysts to suggest other products of interest to our customers.
  • Develop experimental design approaches to validate findings or test hypotheses and validate analysis by comparing appropriate samples.
  • Recommend ongoing improvements to current data analysis methods and algorithms that will lead to actionable findings, including new information.
  • Provide business metrics for overall projects to show improvements.
  • Evaluate special underwriting practices and facilitate partnerships with underwriting and reinsurers to identify new opportunities and quantify their projected impact on mortality expectations.
  • Develop a continuous internal and external mechanism to collect and analyze underwriting technology and techniques to place and maintain LGA on the forefront of emerging practices.
  • Develop a set of actionable parameters of post-issue health changes and lifestyle patterns and support the creation of a business model based on those parameters.
  • Assist in the periodic review and development of actuarial assumptions used for financial analysis of in-force business.
  • Provide support to marketing and administrative areas as required.
  • Other duties as assigned.

Qualifications

Education

  • Master’s degree in Statistics/Mathematics/Computer Science/Data Science/Actuarial Science or quantitative field equivalent or Bachelor’s degree with 3+ years relevant Data Science and/or Predictive Analytics experience.

Experience/Knowledge

  • 1 – 3 years of school-project and/or internship experience in applied statistics and data science working with analytical life cycle, including data extraction, analysis to visualization then operational use. Prior data science work experience a plus.
  • Familiarity with life insurance mortality modeling and underwriting is a plus, but not required.
  • Completion of any actuarial exams is a plus, but not required.

Skills

  • Proficient in statistical data analysis and machine learning modeling.
  • Proficient in Microsoft Excel and Word and one or more database platforms.
  • Understand how to analyze large, complex, multi-dimensional datasets and prescribe action.
  • Proficient with statistical analysis tool such as Python.
  • Experience with BI tools such as Tableau or Spotfire.
  • Good working knowledge of SQL.
  • Excellent understanding of machine learning techniques and algorithms.
  • Basic understanding of behavioral economics.
  • Excellent communication skills, both written and oral.
  • Strong organization and documentation skills.
  • “Self-starting” with internal motivation and initiative.
  • Demonstrates the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.

Salary and compensation

$104,300 - $143,450 per year

Benefits

health, life, and dental insurance401Kgenerous time off20 vacation days and 10 sick days9 paid holidays throughout the calendar yearcareer development opportunitiesannual incentive planwellbeing initiativestime off to volunteer
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