Associate Data Scientist

Who We Are

At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.

We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life:

• We are stronger as one: We collaborate across the enterprise, scale what works and act   decisively for our customers and partners.
• We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders.
• We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future.
• We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.

We are looking for a curious, analytical, and technically skilled Associate Data Scientist to join our Business Analytics team. This role is ideal for someone early in their career who enjoys working with data to solve real business problems and wants to develop deeper expertise in predictive analytics, statistical modeling, and AI.

You will partner with analysts, data scientists, and business stakeholders across the full analytics lifecycle, from understanding the business question and preparing data through modeling, validation, visualization, and communication of results.

·         Partner with business stakeholders to translate business questions into analytical approaches and measurable outcomes.

·         Extract, clean, join, and analyze structured and unstructured datasets using SQL and Python.

·         Perform exploratory data analysis to identify trends, relationships, anomalies, and potential business opportunities.

·         Develop and evaluate statistical and machine-learning models for forecasting, segmentation, propensity modeling, and other predictive use cases.

·         Apply sound experimental and statistical techniques to evaluate hypotheses and measure business impact.

·         Build repeatable analytical workflows and contribute to reusable datasets, models, documentation, and code.

·         Develop visualizations and analytical outputs that make complex findings understandable to business audiences.

·         Clearly communicate methodology, assumptions, limitations, and recommendations.

·         Partner with data engineering, technology, and analytics colleagues to improve data quality and analytical capabilities.

·         Stay current with emerging approaches in data science and AI and help evaluate their application to business problems.

·         Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline.

·         Academic, internship, or professional experience applying quantitative methods to real-world problems.

·         Working knowledge of Python, including common data-analysis libraries such as pandas, NumPy, and scikit-learn.

·         Proficiency with SQL and relational datasets.

·         Foundation in statistics, including regression, hypothesis testing, probability, and model evaluation.

·         Ability to visualize data and communicate analytical findings clearly.

·         Strong problem-solving skills and intellectual curiosity.

·         Ability to work collaboratively and explain technical concepts to non-technical audiences.

·         Master's degree or additional coursework in a quantitative discipline.

·         Internship or 1–2 years of relevant analytics or data-science experience.

·         Experience with Power BI, Tableau, or a similar visualization tool.

·         Exposure to cloud platforms such as Microsoft Azure, Databricks, Snowflake, or AWS.

·         Familiarity with Git and modern software-development practices.

·         Exposure to machine-learning lifecycle concepts such as feature engineering, model validation, deployment, and monitoring.

·         Familiarity with generative AI, large language models, or natural-language processing.

·         Experience working with financial services, insurance, sales, marketing, customer, or operational data.

This position is based in Corebridge Financial’s New Jersey, NJ office.

May include up to 25%.

Why Corebridge?

At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive.

Benefit Offerings Include:

• Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being.
• Retirement Savings: We offer retirement benefits options, which vary by location.  In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately.
• Employee Assistance Program: Confidential counseling services and resources are available to all employees.
• Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
• Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work.
• Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it.