Data Scientist

Overview:

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: (1) developing and maintaining the capability to understand and proactively influence the drivers of customer behavior, (2) optimize the use of data in the risk pricing and underwriting process, (3) design experiments, test hypotheses, build Machine Learning models/pipelines, and conduct advanced data analysis.

• 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 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 inforce business. 
• Provide support to marketing and administrative areas as required.
  
• Other duties as assigned.

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

What’s in it for you?

The expected hiring compensation range for this position is $104,300 - $143,450 annually. This is a remote opportunity operating on EST.

The total compensation package for this position may include other elements, such as a sign-on bonus, long term incentives, and annual bonuses.  This role is eligible to participate in the Legal & General America Annual Incentive Plan. The current target payment for the position is 20% of base salary, modified for corporate and individual performance. Bonuses are pro-rated based on start date.  This role has 20 vacation days and 10 sick days that are accrued on a bi-weekly basis. Employees also have 9 paid holidays throughout the calendar year.

We have a competitive compensation and benefits package focused on your overall wellbeing.  Employee benefits include health, life, and dental insurance; 401K with company match up to 6% as well as a pension package; generous time off; and wellbeing initiatives throughout the year (we like doing fun stuff).  We’re big on professional development and we’ll support and mentor you in your career progression and expect you to help us pay it forward by helping us develop tomorrow's leaders and growth-focused professionals. We value our teams and our communities and believe in giving back. Enjoy time off to volunteer for those causes that matter most to you!

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The Company reserves the right to change benefits plans at any time.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.