Director, Data Scientist - Technology - Data Analytics & Management

Are you passionate about driving innovation, agility, scalability, and efficiency within a leading financial services organization? Join the Global Technology team at Prudential Financial and be part of a culture where digital transformation is part of our DNA. Embark on an exciting and fulfilling career while advancing your skills at one of the world’s foremost financial institutions.

Role Overview

As a Director, Data Scientist in our Group Insurance division, you will collaborate with Machine Learning Engineers, Data Engineers, Data Analysts, and other professionals to create models supporting Life Data Analysis. Key responsibilities include:

• Implementation of machine learning models that ensure stability, producibility, scalability, and seamless integration with other services.
• Solving complex business problems and deploying innovative products and services to enhance customer experience.
• Providing deep technical leadership in high-impact data science initiatives, identifying optimal data sets and models, and removing technical impediments.
• Managing and mentoring team members in data analysis, model development, testing, training, and tuning.
• Continuous learning and application of new skills to improve business insights and model performance.

What You Can Expect

• Provide technical leadership for high-impact data science projects.
• Identify optimal data, models, training, and testing techniques for successful product delivery.
• Communicate model design and insights clearly and effectively, both in writing and verbally.
• Leverage continuous integration and deployment best practices to ensure successful model deployment.
• Apply programming languages such as Python, R, SQL, Java, or Scala for various data tasks.

Skills and Expertise

• Master’s degree (Ph.D. preferred) in Statistics, Mathematics, Physics, Computer Science, or Engineering.
• Ability to lead independently and leverage diverse ideas for the organization’s benefit.
• Experience with agile methodologies and Test-Driven Development (TDD).
• Strong business insight and ability to make sound decisions.
• Significant experience in Statistics, Computing, Data Acquisition, Data Transformation, and Machine Learning.

What We Offer

• Competitive base salaries and yearly bonus potential.
• Comprehensive benefits including medical, dental, vision, life, and disability insurance.
• Retirement plans with company match up to 4% and a company-funded pension plan.
• Wellness programs with annual reimbursement of up to $1,600.
• Work/Life resources supporting various personal and professional needs.
• Tuition assistance for traditional college enrollment and certificate programs.
• Employee stock purchase plan with significant savings options.

Why You’ll Love Working Here

Be part of a team where your voice matters, and your work transforms lives daily. At Prudential, we value your contributions and support your growth with learning experiences that enhance both technical and leadership skills. Discover what this rock-solid organization has in store for you.

Salary Range

Prudential complies with state-specific laws requiring the disclosure of the salary range for roles when hiring residents in applicable locations. The salary range for this role is $173,500.00 to $234,700.00, subject to various factors, including geographic location, candidate experience, and skills. Additional compensation and benefits eligibility are also possible.

Prudential Financial, Inc. is a multinational financial services leader with operations worldwide. Known for our Rock symbol representing strength, stability, expertise, and innovation, we offer products such as life insurance, annuities, retirement services, mutual funds, asset management, and real estate services.

Visit to learn more about our values, history, and brand.

Equal Employment Opportunity

Prudential is an equal opportunity employer. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

For accommodations during the application process, please email accommod