🏢 About American Express
American Express (AmEx) is a globally recognized financial services company that believes in the power of teamwork, innovation, and integrity. With a mission to provide the world’s best customer experience, AmEx empowers employees to thrive in a culture of belonging and recognition. As part of its data-driven future, American Express is building next-gen AI/ML-powered data science teams to shape smarter financial solutions.
💼 Job Role: Analyst – Data Science (Off Campus)
American Express is seeking passionate and curious minds for the Analyst – Data Science role. This is a great opportunity for freshers and early-career professionals looking to gain hands-on experience in analytics, machine learning, and statistical modeling within a global enterprise environment.
🔧 Key Responsibilities
- Collaborate with credit and collections data science teams to improve model efficiency.
- Analyze large-scale internal and external datasets (consumer, bureau, commercial).
- Conduct AI/ML research to drive new insights and model enhancements.
- Innovate variable creation and modeling techniques to elevate model accuracy.
- Identify opportunities for automation and model optimization.
- Work with cross-functional teams to support commercial credit risk strategies.
🎓 Required Qualifications and Skills
- 0–2 years of experience in Analytics / Data Science / Machine Learning.
- A Postgraduate or Bachelor’s Degree in:
- Statistics
- Mathematics
- Economics
- Engineering
- Management
- Strong analytical thinking, problem-solving, and programming skills.
- Knowledge of statistical modeling, ML algorithms, and data visualization.
🌟 Why Join American Express?
- Work with a world-class data science team.
- Be part of an inclusive and innovative company culture.
- Gain access to cutting-edge ML and AI tools.
- Attractive fresher salary and career growth opportunities.
- Work on real-time impact projects in finance and risk management.
📩 How to Apply?
Interested and eligible candidates can apply online before the deadline using the link below:
