American Express Recruitment 2025 brings an exciting opportunity for skilled professionals through its latest hiring drive for the Analyst – Data Science role in Bengaluru, Karnataka. This opening is part of American Express’s Credit and Fraud Risk (CFR) Global Data Science organization and is ideal for candidates who are passionate about artificial intelligence, machine learning, and data-driven decision making. With a hybrid work model, competitive benefits, and exposure to real-world business problems, this role stands out as a strong career move for both experienced professionals and early-career talent looking to grow in data science and AI product development.
As organizations increasingly rely on advanced analytics and AI to manage risk and enhance customer experience, American Express continues to lead innovation in this space. This hiring drive aligns with the company’s long-term vision of leveraging data responsibly while delivering value to millions of customers worldwide.
American Express Recruitment 2025
| Category | Details |
|---|---|
| Company Name | American Express |
| Job Role | Analyst – Data Science |
| Qualification | UG / PG in CS, IT, Mathematics |
| Experience | Relevant experience preferred |
| Location | Bengaluru Urban, Karnataka |
| Work Mode | Hybrid |
| Salary | Expected ₹10 LPA – ₹18 LPA |
About the Company
American Express is a globally recognized financial services company with a legacy of over 175 years of innovation and trust. Known for its strong customer focus, ethical practices, and technology-driven solutions, American Express supports millions of cardmembers, merchants, and partners across the globe.
The company’s culture emphasizes leadership, inclusion, and continuous learning. Employees at American Express are encouraged to bring forward ideas, collaborate across teams, and contribute to solutions that shape the future of payments, risk management, and digital commerce. With strong investments in AI, cloud technologies, and data platforms, American Express Recruitment 2025 reflects the organization’s commitment to building world-class data and analytics teams.
Job Overview
The Analyst – Data Science role is based in Bengaluru Urban, Karnataka, with a hybrid work model. The position is part of the Credit and Fraud Risk (CFR) team, specifically within the Global Data Science Center of Excellence (GDS CoE). The role focuses on developing and scaling AI and ML-driven products that support critical business decisions related to fraud prevention, credit risk, and customer experience.
Professionals in this role will work closely with product managers, engineers, and designers to transform machine learning concepts into production-grade solutions used across the enterprise.
Key Responsibilities
Candidates selected for this American Express recruitment drive will be responsible for:
- Contributing to the long-term AI and ML product strategy with clearly defined business outcomes
- Solving complex business problems by owning and prioritizing data science and AI products
- Managing product backlogs while balancing stakeholder and partner requirements
- Conducting market research, competitive analysis, and roadmap planning for AI products
- Translating product roadmaps into clear technical requirements and acceptance criteria
- Driving end-to-end AI and ML product development, from MVP to production deployment
- Collaborating with engineering and design teams to build scalable, enterprise-ready solutions
- Supporting ideation and launch of innovative AI and ML capabilities across the organization
- Creating proof-of-concepts for next-generation AI solutions
- Delivering technical training sessions in AI, cloud, Hive, and Spark (learning initiatives)
Skills Required
To succeed in this role, candidates should possess:
- Strong analytical, quantitative, and structured problem-solving skills
- Solid hands-on experience with Python, SQL, data analytics, and data visualization
- Good understanding of the ML development lifecycle, including feature engineering and model optimization
- Knowledge of ML algorithms such as decision trees and boosting techniques
- Experience with Google Cloud Platform (GCP), BigQuery, and Vertex AI
- Exposure to big data technologies like Hadoop and PySpark
- Familiarity with ML deployment, governance, and regulatory considerations
- Experience using Jupyter, Airflow, and notebook-based development environments
- Understanding of product management tools such as JIRA, Rally, and Confluence
- Strong communication skills and the ability to collaborate with global teams
Why Join American Express?
Joining American Express means becoming part of an organization that truly invests in its people. Employees benefit from a supportive work culture that promotes flexibility, learning, and long-term career growth.
Key benefits include:
- Competitive base salary and performance-based bonuses
- Comprehensive medical, dental, vision, and insurance coverage
- Financial well-being and retirement support
- Flexible hybrid work arrangements
- Generous paid parental leave policies
- Access to wellness centers and mental health programs
- Continuous learning, training, and leadership development opportunities
American Express Recruitment 2025 is particularly attractive for professionals who want to work on high-impact AI solutions that influence decisions affecting millions of customers globally.
Salary Details
The salary for the Analyst – Data Science role is competitive and aligned with industry standards. Compensation includes base pay, bonus incentives, and a comprehensive benefits package, making it a financially rewarding opportunity for qualified candidates.
Hiring Location
- Bengaluru Urban, Karnataka, India
- Hybrid work model depending on role and business requirements
How to Apply
Interested candidates can apply through the official American Express careers website. Applicants are advised to prepare a strong resume highlighting experience in data science, AI, ML, and cloud technologies. Shortlisted candidates will go through a structured interview and background verification process as per company policy.
American Express Apply Link : Click here
