Bread Financial Data Scientist Job Alerts 2026 :-
Bread Financial is hiring candidates for the role of Data Scientist for the Karnataka, India locations. The complete details about Bread Financial Data Scientist Job Alerts 2026 are as follows.
| Company Name:- | Bread Financial |
| Required Education: | Bachelor’s Degree |
| Required Skills: | Data Science, Python Machine Learning. Structured Query Language (SQL). |
| Job Category | Data + Analytics |
| Job ID | R1012344 |
Qualifications
Minimum Qualifications:
- Degree Required: Bachelor’s Degree
- Area of Study: Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or another quantitative field
- Years of Work Experience Required: Fresher or less than 1 year experience.
- Type / focus of work experience required: Must have done a course in Data science and Machine learning
- Knowledge, Skills and Abilities
Must:
- Data Science
- Machine Learning
- Structured Query Language (SQL)
- Python
- Strong Communication skills
Good to Have:
- Natural Language Processing (NLP)
- Cloud Experience (AZURE/AWS)
Job Summary
- Data Science team delivers the best in class actionable business insights through cutting-edge predictive models and data science techniques.
- The Data Scientist is responsible for generating data-driven insights using advanced analytics and machine learning techniques to support enterprise data science needs within Bread Financial.
Skills Required
Key Responsibilities:
Analytics – under supervision and guidance, completes the following:
- extracts and samples data, conducts data integrity checks and applicable data pre-processing such as treatment of missing values and outliers,
- conducts exploratory data analysis for preliminary data insights to drive the selection of modeling approach that best addresses the business problem,
- reveals hidden data patterns by data mining using unsupervised learning techniques such as clustering analysis and factor analysis,
- conducts feature engineering to create/derive model predictors with strong predictive power,
- trains/tunes classification/regression models by applying supervised learning techniques such as generalized linear models assuming applicable underlying distributions such as logit and gamma, tree-based models such as decision trees, random forest, boosted trees, etc., and neural net models, and
- conducts proper model test/validation, diagnoses and fixes model issues (e.g., over-fitting) when applicable.
- Sizes the impact of using the models in production as part of the current strategy.
- Presents results and business case to manager. Provides support for implementation and monitoring of solutions that are implemented.
Bread Financial Data Scientist Job Alerts 2026 Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds
