Position:
- Title: Data Scientist 1
Company:
- Name: Bread Financial
- Industry: Financial Services and Data Analytics
Location:
- Region: Karnataka, India
Job Type:
- Employment Status: Full-time
Job Mode:
- Mode of Work: Office-based
Job Requisition ID:
- ID: R1010082
Years of Experience:
- Required Experience: Fresher or less than 1 year
Company Description:
Bread Financial is a leading tech-forward financial services company specializing in providing personalized payment, lending, and savings solutions. At Bread Financial, employees have the opportunity to not only grow professionally but also give back to their communities and experience an inclusive and rewarding workplace culture. The company has been consistently recognized for its strong workplace environment and support for employee well-being.
Bread Financial offers a comprehensive suite of payment solutions, including private label and co-branded credit cards, buy now/pay later products, and direct-to-consumer financial services like the Bread Cashback® American Express® Credit Card and Bread Savings®. Headquartered in Columbus, Ohio, Bread Financial is powered by a team of approximately 7,000 global associates, all committed to creating growth for their partners through cutting-edge technology, data insights, and sustainable business practices.
Profile Overview:
The Data Scientist 1 at Bread Financial will work under the guidance of senior team members to deliver advanced business insights using data science techniques. The role is designed for recent graduates with a strong foundation in data science and machine learning, focusing on supporting the enterprise’s data science needs. As part of this team, the Data Scientist 1 will engage in everything from data extraction and pre-processing to building and validating predictive models.
The position offers opportunities to work collaboratively with cross-functional teams, including data scientists and business partners, to develop and present actionable insights. Additionally, the role emphasizes innovation by exploring emerging data science trends, tools, and algorithms. Employees will contribute to the company’s strategy by developing and validating models that enhance operational efficiency, help manage risks, and offer new business opportunities.
Qualifications:
Minimum Qualifications
- Education: Bachelor’s Degree
- Field of Study: Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or other quantitative fields
- Work Experience: Less than 1 year or fresher
- Specialization: Must have completed a course in Data Science and Machine Learning
Required Skills
- Data Science: Ability to generate actionable insights through data analysis and machine learning
- Machine Learning: Experience with algorithms for supervised and unsupervised learning
- SQL: Proficiency in using SQL for data extraction and manipulation
- Python: Strong ability to work with Python for data science projects
- Communication Skills: Excellent verbal and written communication skills, especially when presenting results to different stakeholders
Good to Have
- NLP (Natural Language Processing): Familiarity with NLP techniques and their application
- Cloud Experience: Exposure to cloud platforms such as AZURE or AWS
Additional Info:
Key Responsibilities
Data Analytics: Under supervision, perform data extraction, integrity checks, and data pre-processing for analytical purposes. You will also engage in exploratory data analysis to generate insights and select modeling approaches tailored to specific business challenges.
- Conduct data mining using unsupervised learning techniques like clustering and factor analysis.
- Engage in feature engineering to create predictive model inputs.
- Apply supervised learning techniques like regression, decision trees, random forests, neural networks, etc.
- Ensure proper model validation, diagnosis, and correction of issues (e.g., overfitting).
- Measure the impact of model integration into production strategies and present results to management.
Collaboration: Collaborate closely with team members and management to translate analytical insights into actionable recommendations.
- Present results clearly and concisely to internal and external stakeholders.
- Build foundational knowledge in various domains, including credit card operations, banking, and financial regulations, through teamwork and collaboration.
- Engage with fellow data scientists to share best practices and foster data science innovation within the company.
Innovation and Research: Stay informed about emerging trends in data science and machine learning. You will be encouraged to research and test new tools, algorithms, and platforms to enhance model performance and efficiency.
- Provide feedback on the effectiveness of new tools and approaches during testing phases.
Model Risk Management: Understand common model risks and regulatory requirements.
- Apply proper controls during model development to minimize risks.
- Develop comprehensive documentation for model governance, archiving data, scripts, and results.
- Work with model risk management partners to complete model validation and remediation processes as required.
About Bread Financial:
Bread Financial® (NYSE: BFH) operates with a digital-first mindset, empowering its customers and partners through technology-driven solutions. With a focus on delivering exceptional customer experiences, Bread Financial offers a range of payment, lending, and savings products. From private-label credit cards to "buy now, pay later" services like Bread Pay®, Bread Financial serves businesses and consumers alike.
The company promotes an inclusive culture where all employees are heard, valued, and encouraged to bring their authentic selves to work. Recognized as one of the best places to work nationally, Bread Financial offers robust career development opportunities and supports overall employee well-being with a diverse range of benefits.
Headquartered in Columbus, Ohio, the company has a global workforce of approximately 7,000 associates. Driven by its commitment to innovation and sustainability, Bread Financial continues to push the envelope in providing tech-forward financial services.
Working Conditions:
- Work Environment: Typical office setting
- Physical Requirements: No special requirements
Direct Reports:
- Number of Reports: None
Additional Information:
- Background Checks: All job offers are contingent upon the successful completion of credit and background checks.
- Equal Opportunity Employer: Bread Financial is an Equal Opportunity Employer, ensuring an inclusive workplace free from discrimination.
Other Duties:
- Disclaimer: This job description provides a general outline of key responsibilities and is not exhaustive. As the company evolves, so may the role’s requirements. The company reserves the right to make changes as needed.
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