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American Express – Analyst – Data Science


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American Express

Analyst – Data Science

Bengaluru Urban, Karnataka, India; Gurugram, Haryana, India
Hybrid

American Express hiring poster vthetecheejobs

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

Demonstrated proficiency in econometric, statistical, analytical, and machine learning techniques.
Expertise in machine learning programming languages such as Python and PySpark, as well as SQL/Hive.
Proven ability to manage project deliverables effectively to achieve targeted business results.
Exceptional ability to collaborate effectively within a team environment.
Superior communication and interpersonal skills.
Capacity to rapidly acquire new knowledge and work autonomously on complex, unstructured projects.

ATS Keywords

Data Science
Machine Learning
Analytics
Econometrics
Statistics
Python
PySpark
SQL
Hive
Commercial Credit Risk
Model Development
AI
Artificial Intelligence

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Frequently Asked Questions

What locations are available for this role?

This role is available in Bengaluru Urban, Karnataka, India and Gurugram, Haryana, India.

What is the work arrangement for this role?

This role follows a hybrid work arrangement.

What kind of experience is American Express looking for?

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.

What are the key skills required for this role?

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.

Tags

Data Science
Machine Learning
Analytics
Python
PySpark
Credit Risk
Model Development
Hybrid




How to Apply

  1. Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
  2. Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
  3. Fill Out the Application: On the official website, fill out the application form with the provided information.
  4. Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
  5. Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.







From vthetechee.com on 2025-07-06 23:30:36





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