American Express Analyst Data Science Jobs 2026 | Hybrid | Bengaluru

American Express Careers 2026 offer a strong opportunity for early-career professionals to join as an Analyst – Data Science in the Credit & Fraud Risk (CFR) organization. This role is based in Bengaluru with a hybrid work model and provides exposure to AI/ML, data science, big data platforms, and product-driven analytics that impact millions of cardmembers and merchants globally.

Quick Job Overview – Analyst Data Science (American Express)

Table 1: Job Details

Table 2: Eligibility Criteria

Role Overview – Analyst, Data Science

As an Analyst – Data Science at American Express, you will be part of the Credit & Fraud Risk (CFR) – Global Data Science CoE, supporting AI-driven products that enable smarter decision-making, fraud prevention, and risk management. You will work closely with product owners, engineers, and data scientists to build scalable ML/AI solutions used across the enterprise.

This role blends data science, product thinking, and analytics execution, making it ideal for candidates who want both technical depth and business impact.

Key Responsibilities

• Contribute to defining AI/ML product strategy and long-term roadmaps
• Solve complex business problems using data-driven decision science
• Prioritize and manage product backlogs aligned with AI adoption goals
• Translate product vision into clear requirements and acceptance criteria
• Drive end-to-end ML/AI product development with engineering teams
• Transform MVPs into production-ready AI solutions
• Perform market research, competitive analysis, and product positioning
• Build POCs for scalable AI/ML innovations
• Support enterprise-wide adoption of AI products
• Curate and deliver technical training in AI, Cloud, Spark, and Big Data (for learning initiatives)

Required Skills & Knowledge

Technical Skills

• Strong foundation in AI / ML, data analytics, and statistics
• Hands-on experience with Python, SQL, data visualization
• Understanding of ML model development lifecycle (MDLC)
• Knowledge of ML algorithms (Decision Trees, Boosting, Optimisation)
• Experience with GCP, BigQuery, Vertex AI
• Exposure to Big Data platforms such as Hadoop and PySpark
• Familiarity with Jupyter, Airflow, and notebook-based IDEs
• Knowledge of JIRA, Rally, Confluence is a plus

Behavioral & Professional Skills

• Strong analytical and structured problem-solving ability
• Clear and effective communication skills
• Ability to collaborate with global cross-functional teams
• Ownership mindset with strong prioritization skills
• Creative, self-driven, and detail-oriented approach

Why Join American Express?

• Work on AI & data science solutions that impact millions globally
• Exposure to credit risk, fraud analytics, and decision science
• Hybrid work flexibility with strong work-life balance
• Access to world-class learning, training, and leadership development
• Inclusive culture with focus on well-being and career growth

Work Environment & Hiring Process

• Work Mode: Hybrid
• Interview Process: Multiple rounds
• Background Verification: Mandatory (as per company policy)
• Equal Opportunity Employer: Yes

Also Apply For – Related Data Science & Analytics Jobs

Also Apply – Highly Relevant IT Support & Trainee Roles

Also Apply – Infrastructure & System Support (Entry-Level)

Also Apply – Freshers & Graduate IT Jobs

Also Explore – Career Guidance & Job Search Blogs

Career Trends & Future Opportunities (2026)

Skills, Certifications & Professional Growth

Resume, Interviews & Job Preparation

Job Search Strategies & Fresher Guidance