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Analyst – Data Science

About the Company
American Express is defined by a legacy of innovation spanning 175 years, underpinned by core values, strong leadership principles, and a steadfast dedication to supporting our customers, communities, and colleagues. Joining American Express means becoming a member of Team Amex, where you will benefit from extensive support for your overall well-being and numerous avenues for professional development, leadership training, and career advancement.
At American Express, your perspectives and ideas are valued, your contributions are impactful, and together, we will shape the future of our organization.
Job Description
Work Arrangement: Hybrid
American Express is defined by a legacy of innovation spanning 175 years, underpinned by core values, strong leadership principles, and a steadfast dedication to supporting our customers, communities, and colleagues. Joining American Express means becoming a member of Team Amex, where you will benefit from extensive support for your overall well-being and numerous avenues for professional development, leadership training, and career advancement.
At American Express, your perspectives and ideas are valued, your contributions are impactful, and together, we will shape the future of our organization.
Company Name | American Express |
---|---|
Role | Analyst – Data Science |
Location | Bengaluru Urban, Karnataka, India; Gurugram, Haryana, India |
Salary | |
Job Type | Hybrid |
Responsibilities
- Supporting the Commercial Collections and Credit Data Science functions to promote model adoption and address business challenges through model enhancements and refinements.
- Pioneering innovative modeling methodologies and variable creation strategies.
- Integrating novel data intelligence derived from consumer, commercial bureau, and internal datasets into commercial credit risk models.
- Conducting applied research in Artificial Intelligence (AI) and Machine Learning (ML) to identify opportunities for enhancing model performance and driving positive business outcomes.
- Analyzing customer cases to identify potential enhancements to existing models and opportunities for new variable development.
Qualifications
- Zero to two years of relevant experience in analytics, data science, machine learning, or related quantitative fields.
- A post-graduate degree in statistics, mathematics, economics, engineering, or management from a leading academic institution.
Skills
ATS Keywords
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Frequently Asked Questions
This role is available in Bengaluru Urban, Karnataka, India and Gurugram, Haryana, India.
This role follows a hybrid work arrangement.
American Express is seeking candidates with zero to two years of experience in analytics, data science, machine learning, or related quantitative fields. A post-graduate degree in a relevant field is also required.
The key skills include proficiency in econometric, statistical, analytical, and machine learning techniques; expertise in Python, PySpark, and SQL/Hive; project management skills; and strong communication abilities.
Other Information
American Express supports its employees with a comprehensive benefits package designed to promote holistic well-being, enabling them to perform at their best both personally and professionally. This includes support for physical, financial, and mental health, along with the flexibility required to thrive:
* Competitive base salaries.
* Performance-based bonus incentives.
* Resources for financial well-being and retirement planning.
* Comprehensive medical, dental, vision, life insurance, and disability benefits (benefits vary by location).
* Flexible work arrangements, including hybrid, onsite, and virtual options, depending on the specific role and business requirements.
* Generous paid parental leave policies (policies vary by location).
* Access to on-site wellness centers staffed with medical professionals (availability varies by location).
* Confidential counseling support via our Healthy Minds program.
* Opportunities for career development and professional training.
American Express is committed to equal employment opportunities and prohibits discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other characteristic protected by law.
Employment with American Express is contingent upon successful completion of a background verification, in accordance with all applicable laws and regulations.
US Job Seekers – Click to view the Know Your Rights poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
Additional Note for US Applicants: American Express does not currently utilize the AI capabilities of its application management platform in making employment decisions.
If you have a disability or a special need that requires a reasonable accommodation throughout the recruitment process, you can email recruitmentoperationsservicing@aexp.com or inform your recruiter. Please indicate if you prefer a response via email or phone.
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How to Apply
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- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
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- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.