Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
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.
Requirements
- 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.
Benefits
- 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
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