American Express is Hiring Analyst – Data Science
Analytics & Risk Management • Gurugram, Haryana
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Job Overview
American Express is hiring an Analyst – Data Science for its Global Servicing Decision Science (GSDS) team in Gurugram, India. The team combines advanced analytics, machine learning, AI, and generative AI to improve customer servicing, personalization, colleague effectiveness, and operational performance.
The selected candidate will contribute to predictive modelling, recommendation systems, experimentation, and AI-powered solutions. The role offers hands-on exposure to emerging technologies such as Agentic AI, transformer-based recommendation systems, and Conversational AI, making it suitable for candidates with strong quantitative and coding foundations who want to develop their expertise in applied data science.
This opportunity is ideal for candidates searching for:
- American Express Data Scientist jobs in Gurugram
- Data Science Analyst jobs for master's graduates
- Generative AI and machine learning jobs in India
- Entry-level AI and analytics jobs in Gurgaon
Key Responsibilities
- Develop analytical solutions, predictive models, and recommendation approaches to improve servicing experiences.
- Analyse customer, behavioural, interaction, and operational datasets to identify patterns and opportunities.
- Engineer features, test hypotheses, and translate analytical findings into actionable insights.
- Develop and evaluate machine learning and generative AI solutions.
- Contribute to Agentic AI, agentic workflows, transformer-based recommendation systems, and Conversational AI applications.
- Support advanced personalization and next-best-action solutions.
- Design and analyse experiments to measure model quality and business impact.
- Write high-quality analytical code and collaborate with data, technology, and platform teams.
- Support the implementation, productionization, monitoring, and enhancement of decision science solutions.
- Explore emerging developments in machine learning, GenAI, recommendation systems, and decision intelligence.
Skills & Technologies
Data Science & AI/ML
Professional Skills
- Strong analytical and conceptual thinking.
- Ability to learn quickly and work through ambiguity.
- Effective written and verbal communication.
- Collaboration across technical and business teams.
- Ability to translate technical findings into measurable business outcomes.
Eligibility & Preferences
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Education Requirement: Master's degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics, or Finance).
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Experience Required: Relevant academic, internship, or professional experience in Data Science, Machine Learning, Advanced Analytics, or a related quantitative field.
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Preferred Qualifications: Exposure to Agentic AI, transformer architectures, Conversational AI, MLOps, LLMOps, or personalization models. Project experience using structured or unstructured datasets.
How to Apply
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You will be redirected to the official careers portal. Search for Job ID 26014878 if required.
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Ensure your resume highlights your Python, SQL, Machine Learning, and GenAI experience before the deadline.
⚠️ Data roles at top MNCs fill up rapidly. Apply before Oct 20, 2026.