Data Scientist

Job Description

Prudential is seeking a Data Scientist I to support the development of advanced analytics and machine learning solutions within its Retirement Strategies (Annuities) business. This role will contribute across both traditional statistical modeling efforts and emerging Generative AI initiatives, offering a unique opportunity to work at the intersection of core business analytics and next-generation AI capabilities.

The ideal candidate brings a strong foundation in data science and statistical modeling, combined with hands-on experience working with modern GenAI technologies.

Key Responsibilities

• Design, build, and evaluate machine learning and statistical models to support business initiatives

• Perform hands-on data analysis, including data exploration, feature engineering, model training, validation, and testing

• Develop production-quality Python code and partner with ML engineers to deploy models into production environments

• Collaborate cross-functionally with:

○ Machine Learning Engineers to productionize models

○ Data Engineers to build and optimize data pipelines

○ Software Engineers to integrate solutions into business platforms

• Support both:

○ Business-as-usual (BAU) modeling (e.g., regression, predictive analytics)

○ Innovative use cases leveraging Generative AI

Research and apply new algorithms, modeling techniques, and AI capabilities to solve complex business problems

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Required Qualifications

• Master’s or PhD in a quantitative field such as:

○ Mathematics, Statistics, Data Science, Computer Science, Physics, Engineering, Econometrics, or related discipline

• 1–3 years of hands-on experience in data science or machine learning

• Strong understanding of:

○ Statistical modeling (regression, time series, inferential statistics)

○ Machine learning fundamentals and theory

• Proficiency in:

○ Python and SQL

○ Data manipulation, analysis, and visualization techniques

• Experience working with large, complex datasets (structured and unstructured)

• Ability to write clean, production-level code

• Strong problem-solving skills and ability to work independently

• Experience with Generative AI and NLP, including:

○ LLMs (e.g., BERT or similar)

○ Retrieval-Augmented Generation (RAG)

○ Frameworks such as LangChain or LangGraph

Vector databases