American Express Data Science Job Openings – Analyst (0–18 Months Exp)

📍 Locations: Gurugram & Bengaluru
🏢 Company: American Express
🕒 Job Type: Full-Time | Hybrid
💰 Salary: As per Company Standards
🆔 Req ID: 25013235

About the Role

American Express is hiring Analyst – Data Science professionals to join its global analytics team. This role involves building predictive models, driving data-driven decision-making, and solving complex real-world business problems using advanced analytics and machine learning techniques.

Required Qualifications

• Education: MBA / Master’s Degree in Economics, Statistics, Computer Science, or related fields
• Experience: 0–18 months in analytics, data science, or big data workstreams
• Technical Skills:
  • Programming: SAS, R, Python, SQL
  • Big Data Tools: Hive, Spark, MapReduce
  • ML Techniques: Supervised & Unsupervised Learning, Neural Networks, Transfer Learning, Decision Trees, Bayesian Models, Reinforcement Learning

Preferred Qualifications

• Expertise in coding, algorithms, and high-performance computing
• Strong problem-solving and independent learning skills
• Ability to collaborate with cross-functional teams globally

Key Responsibilities

• Develop, deploy, and validate predictive models to drive profitable decisions across risk, fraud, and marketing
• Analyze large datasets to extract insights and deliver innovative business solutions
• Leverage Amex’s closed-loop network to create intelligent, data-driven decisions
• Explore and implement cutting-edge ML/AI techniques for business growth
• Present findings and recommendations to senior leadership and key stakeholders

Soft Skills Required

• Excellent communication and interpersonal skills
• Team player with strong collaboration ability
• Ability to manage unstructured initiatives and deliver results

Why Join American Express?

You’ll work with some of the top data science leaders in the country, gain exposure to real-world business problems, and create solutions that impact millions of customers globally.

Application Process

🔗 Apply Here: Click Here To Apply  
📌 Note: Apply early — shortlisted candidates will be contacted for further rounds.