American Express is hiring for the position of Analyst – Data Science in Gurgaon, India. Candidates with a Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | American Express |
| Position | Analyst-Data Science |
| Qualifications | Master’s Degree |
| Experience | Freshers/ Experienced |
| Location | Gurgaon, India (Hybrid) |
Key Responsibilities:
- Develop and implement machine learning models to support customer targeting, personalization, and engagement optimization across various marketing channels.
- Contribute to the development of next-best-action and treatment optimization frameworks using Machine Learning and Generative AI techniques.
- Design, build, and support Generative AI-powered tools, including automated insights, prompt-based workflows, and conversational analytics, to enhance marketing productivity and decision-making.
- Integrate new behavioral, engagement, and AI-generated data signals into existing decision-making and prioritization systems.
- Design and execute experiments, including A/B testing and test-control frameworks, to evaluate model performance and measure business impact.
- Collaborate with Marketing, Sales, Product, and Technology stakeholders to gather requirements and ensure successful solution implementation.
- Support model monitoring, performance tracking, and continuous improvement initiatives.
- Stay updated with emerging Machine Learning and Generative AI trends, and apply relevant innovations to solve business problems under the guidance of senior team members.
Eligibility Criteria:
- Possess a Master’s degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, Physics, or a related discipline, or demonstrate equivalent practical experience.
- Demonstrate hands-on experience in building and deploying machine learning models in production or near-production environments.
- Exhibit strong proficiency in Python and SQL, with experience handling and analyzing large-scale datasets.
- Have practical experience across the end-to-end machine learning lifecycle, including data preparation, feature engineering, model development, validation, and monitoring.
- Show exposure to Generative AI use cases, including prompt engineering, retrieval-augmented generation (RAG), and integration of large language model outputs with structured data.
- Apply strong analytical and problem-solving skills to translate business challenges into data-driven solutions.
- Communicate effectively, with the ability to present insights and findings clearly to business stakeholders.
Preferred Skills:
- Have experience working with modern machine learning and large language model frameworks such as PyTorch, HuggingFace, and LangChain.
- Demonstrate familiarity with experimentation frameworks, causal inference techniques, or uplift modeling methodologies.
- Possess experience in marketing analytics, personalization systems, or decisioning platforms.
- Show exposure to model deployment pipelines, MLOps practices, or cloud-based machine learning environments.
- Demonstrate the ability to manage individual workstreams with accountability and deliver tasks within defined timelines.
About Company:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
How To Apply?
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- Fill the details with the information provided.
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