Data Scientist

Bread FinancialColumbus, OH
Hybrid

About The Position

The Data Science role at Bread Financial delivers best-in-class actionable business insights through cutting-edge predictive models and data science techniques. The Data Scientist is pivotal in generating data-driven insights using advanced analytics and machine learning techniques to support enterprise data science needs. About Bread Financial® At Bread Financial, you’ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We’ve been consistently recognized as a best place to work nationally and in many markets and we’re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial® (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending and saving solutions to millions of U.S. consumers. Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through our co-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers. Additionally, we offer Bread Financial general purpose credit cards and saving products that empower our customers and their passions for a better life. Bread Financial proudly marks 30 years of success in 2026. To learn more about our global associates, our performance and our sustainability progress, visit breadfinancial.com or follow us on Instagram and LinkedIn .

Requirements

  • Bachelor’s Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics.
  • 2+ years experience in building sophisticated models using machine learning, segmentation, time series, and other advanced analytics methodologies.
  • Data Manipulation
  • Machine Learning
  • Python (Programming Language)
  • R
  • Statistics
  • Statistical Analysis
  • Statistics
  • Time Series Analysis
  • Cloud Environment

Nice To Haves

  • Master’s Degree or PhD in relevant fields.
  • 3+ years professional experience in model building and analytics.
  • Experience in Marketing, Bank card business, Credit card business, Consulting, Retail, or Financial Services is advantageous.

Responsibilities

  • Establishing and executing the framework for engaging enterprise partners to plan new AI solutions. - (30%)
  • Design, build, deploy, and periodic maintenance of AI solutions. - (30%)
  • Assisting with documentation, compliance, model governance, and maintenance of AI solutions. - (15%)
  • Research advanced modeling and AI techniques to improve predictive modeling and maintain business acumen in relevant industries. - (15%)
  • Building strong relationships with internal business partners to drive the delivery of enterprise solutions. - (10%)

Benefits

  • medical
  • prescription drug
  • dental
  • vision
  • other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long-term disability)
  • Six weeks of 100% paid parental leave
  • 401(k) plan
  • 11 paid holidays
  • Flexible Time Off (FTO) program
  • 80 hours of Paid Sick and Safe Time (“PSST”)
  • 40 hours of Illinois PSST
  • 40 hours of Illinois Paid Leave
  • company stock purchase
  • annual incentive bonus
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