American Express Career Drive 2025 Hiring Data Science Analyst
American Express Career Drive 2025 is now hiring for the role of Data Science Analyst, offering a golden opportunity for fresh graduates and early-career professionals to step into the world of data analytics at a global financial services leader. This role is ideal for B.E/B.Tech/M.Tech graduates with strong analytical, statistical, and programming skills (Python, SQL, R). As a Data Science Analyst at American Express, you will work on advanced data models, machine learning algorithms, and customer insights to drive business decisions and innovation. Join a collaborative and diverse team that’s transforming the future of digital payments and financial services through data. Apply now and kickstart your career with American Express!
Company Name: American Express
Job Profile: Data Science Analyst
Degree Needed: B.E/B.Tech/M.E/M.Tech
Passout Year: 2024, 2025
Work Location: Bangalore, Gurugram India
Experience Level: 0 – 2 Years
Minimum Qualifications:
- 0-2 years of experience in Analytics, Data Science, Machine Learning or related fields
- Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management from Top Tier Institutes
Functional Skills/Capabilities:
- Proficiency & experience in econometric, statistical, analytical and ML techniques
- Proficiency in ML languages (Python; PySpark) and SQL/Hive
- Ability to drive project deliverables to achieve business results
- Ability to work effectively in a team environment
- Strong communication and interpersonal skills
- Ability to learn quickly and work independently with complex, unstructured initiative
Job Responsibilities:
The incumbent would be part of the Commercial Data Science & Model Integration team reporting into the Manager – Commercial Collections and Credit Data Science, key responsibilities include, but are not limited to:
- Support the Commercial Collections and Credit Data science practices to drive model usage and tackle business opportunities through model enhancements
- Innovate modeling techniques and variable creation
- Incorporate new data intelligence from consumer, commercial bureau & internal datasets into commercial credit risk models
- Conduct AI/ML research to explore opportunities in order to elevate model excellence and drive business impactÂ
- Review customer cases to identify new model/variable opportunities
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