About the role

Senior Data Scientist developing analytics capabilities for Group Insurance at Prudential. Collaborating with diverse teams to enhance business impact through data science solutions.

Responsibilities

Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries.
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.
Partner with software engineers to integrate solutions with business platforms.
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.
Manage external vendors in the execution of the data science development process.

Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors
Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results
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). An insurance actuary background is preferred but not required
Ability to learn creative skills and knowledge on an on-going basis through self-initiative and solving challenges
Excellent problem solving, communication and collaboration skills.
Applied experience with several of the following: Data Acquisition and Transformation, Database Management System, Model Deployment, Statistics and Computing, Data Wrangling, Machine Learning, Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher.

Medical, dental, vision, life insurance, disability insurance
Paid Time Off (PTO), and leave of absences, such as parental and military leave
401(k) plan with company match (up to 4%)
Company-funded pension plan
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service
Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance