Principle Data Scientist

Primerica, Inc.
Primerica, Inc.

Job Overview

Primerica currently has the following opening at our corporate office in Duluth, Georgia We are looking for a Principle Data Scientist to join our Data Analytics Insight division to oversee Primericarsquos Next Generation life insurance predictive model(s) used to optimize sales, customer experience, risk selection and profitability. The Principle Data Scientist will work closely with underwriters, actuaries, enterprise architects, data scientists and marketing to manage the transformation of the underwriting process and eventually look to expand modeling capabilities into other areas of the company, such as claim processing and consumer analytics. This role will be the primary connection between IT and the business stakeholders in the development of an enterprise analytics capability DT1 that will provide insights to continually improve the modelrsquos predictive capabilities and monitor key performance metrics.The Principle Data Scientist will coordinate and help create data models and provide analytics to support actuarial and underwriting requirements and drive impactful business decisions. This role will lead the development and management of advanced statistical, predictive, and machine learning models. In addition, the candidate will assist with optimizing Master Data Management activities for easier analysis of data. KEY DUTIES AND RESPONSIBILITIES Be a thought leader on innovation initiatives to transform the underwriting process and other life administration operations Be the primary connection with leadership, stakeholders, and business partners. Manage andor lead the development of the selected advanced statistical, predictive, or machine learning models Lead the modeling team in analyzing the problem, testing approaches, and recommending solutions. Develop key performance indicators and reporting capabilities to monitor outcomes and make necessary business changes to improve results. Coordinate with different functional teams to implement models and monitor outcomes. Work with reinsurance partners to discuss Primericarsquos underwriting models and risk stratification. Assess the effectiveness and accuracy of new data, software and technologies. Co-develop processes to make data more available and usable to all users in the company Develop processes and tools to monitor and analyze model performance and data accuracy. Keep up to date on cutting edge methodologies, and help develop other members of the cross-functional team from a modeling and academic perspective Follow industry trends in life insurance and related data analytics processes. Represent Primerica as the analytics expert in meetings with other internal areas and external vendors. Work with reinsurance partners to discuss Primericarsquos underwriting models and risk stratification. Ensures compliance with regulatory and privacy requirements of predictive models. Oversee the creation of highly detailed documentation, build institutional knowledge, and foster an environment of collaboration Clearly communicate complex topics to management and other key stakeholders. EXPERIENCE Demonstrated ability to lead model development, including managing and coaching other team members towards successful and timely project completion Advanced knowledge of common data science programming languages such as R and Python Experience with database languages such as SQL Experience with NoSQL databases such as MongoDB andor DynamoDB Strong experience with Master Data Management, ETL methodologies and APIs Experience with modern analytics reporting tools such as PowerBI Strong ability to understand complex models and recommend creative solutions Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification and crowdsourcing techniques (e.g GLMs, Decision Trees, SVM, Random Forests, GBM, PCA, Bayesian Networks, Neural Networks, etc.) Experience using cloud computing platforms such as AWS and Microsoft Azure Knowledge of common big data tools such as Spark or Hadoop Experience utilizing Data Warehouses, Data Lakes, Data Marts, etc. to drive insights Strong understanding of the stages of the model lifecycle, including development, testing, integration, monitoring, and maintaining Intellectual curiosity and demonstrated ability to research and solve complex technical problems Experience with predictive analytics, machine learning and model building concepts and tools Experience with cloud-based data platforms Demonstrated experience in strategic and analytical leadership. Executive presence on high-level meetings. Credible functional expertise in predictive analytics REQUIRED SKILLS Bachelors in Statistics, Mathematics, Computer Science or another quantitative field At least 5+ years life insurance experience involving underwriting andor pricingproduct development. 5+ years of experience manipulating data sets, building or utilizing statistical models, as well as deep predictive modeling experience. Strong oral and written communication skills with demonstrated ability to understand audience and effectively communicate technical concepts Good time management and expectation setting. Actuarial credentials are preferred ABOUT PRIMERICA Primerica is a Main Street Company for Main Street North America. Our goal is to create more financially independent families. We are located in Duluth, GA. Primerica employees support our representatives to provide appropriate solutions through term life insurance, mutual funds, annuities and other financial products. We insured more than 5 million lives and have over 2 million client investment accounts. Our stock is traded on The New York Stock Exchange under the symbol ldquoPRIrdquo. Seven years in a row Primerica has been recognized by the Atlanta Journal-Constitution as one of the best workplaces in Georgia! Over the past six years Primerica has consistently been voted Best Employer by Gwinnett Magazine in its special “Best of Gwinnett” winner editions. Primerica is proud to be ranked among Forbes Americarsquos Best Employers for Women in 2020.

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