Prudential is looking to build capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency in the area of data analytics and management, specifically in the Global Retirement & Insurance Technology organization.
Requirements
- Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
- Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
- Experience in research and designing experiments (ex: A/B testing)
- Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL
- Database Management System: Knowledge of how databases are structured and function in order to use them efficiently
- Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines
- Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher
Responsibilities
- Responsible for the hands-on development of sophisticated data science solutions
- Perform hands-on data analysis, model development, model training, model testing, model deployment
- Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques
- Write production-level code and partner with machine learning engineers to push development code into production
- Partner with machine learning engineers to productionized machine learning models
- Partner with data engineers to build data pipelines
- Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases
Other
- Excellent problem solving, communication and collaboration skills
- Ability to learn creative skills and knowledge on an on-going basis through self-initiative and solving challenges
- Strong business insight, an inclusive leadership demeanor and a continuous learning focus
- Travel requirement: This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week
- Education Benefit to help finance traditional college enrollment toward obtaining an approved degree
