American express is hiring data analyst

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Job Details

  1. Company: American Express
  2. Job Position: Senior Analyst – Data Science
  3. Job ID: 26016354
  4. Location: Bengaluru, Karnataka / Gurugram, Haryana
  5. Experience: 2–3 Years
  6. Qualification: Bachelor’s Degree
  7. Employment Type: Full-Time
  8. Work Mode: Hybrid
  9. Salary: ₹12 LPA – ₹20 LPA (Estimated)
  10. Shift Timing: 1 PM – 10 PM IST
  11. Apply Before: 23 November 2026

Job Overview

American Express is hiring a Senior Analyst – Data Science to develop data-driven strategies and improve sales portfolio performance. The selected candidates will work with machine learning, natural language processing (NLP), and generative AI to solve business problems. The role involves building predictive models, analysing customer behaviour, developing AI-powered solutions, and providing actionable insights to senior leadership. Candidates will collaborate with Sales, Marketing, Finance, and Technology teams.

Key Responsibilities

  1. Lead data science projects using machine learning and AI.
  2. Develop predictive and explanatory models.
  3. Analyse sales performance and customer behaviour.
  4. Build analytical frameworks for business problems.
  5. Develop GenAI-powered analytics solutions.
  6. Work on NLP and generative AI applications.
  7. Build and improve machine learning models.
  8. Perform hypothesis testing and data analysis.
  9. Develop scalable data pipelines and modelling workflows.
  10. Collaborate with Sales, Marketing, Finance, and Technology teams.
  11. Monitor model performance and business outcomes.
  12. Identify business opportunities through data analysis.
  13. Prepare reports, dashboards, and visualisations.
  14. Present insights to technical and non-technical stakeholders.
  15. Support data-driven decision-making across the organisation.

Eligibility Criteria

  1. Candidates should have 2–3 years of relevant experience in Data Science, Analytics, or a related field.
  2. Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related discipline.
  3. Strong analytical and problem-solving abilities.
  4. Experience applying machine learning techniques to real-world problems.
  5. Knowledge of NLP techniques such as text classification and summarisation.
  6. Ability to communicate analytical findings effectively.
  7. Experience working with cross-functional teams.
  8. Ability to work independently in a collaborative environment.
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Required Skills

  1. Strong Python programming skills.
  2. SQL and database knowledge.
  3. Machine Learning and Deep Learning.
  4. TensorFlow and PyTorch.
  5. Natural Language Processing (NLP).
  6. Generative AI and Large Language Models (LLMs).
  7. Cloud platforms such as AWS, GCP, or Azure.
  8. BigQuery and Spark knowledge.
  9. Data visualisation using Matplotlib, Seaborn, or Tableau.
  10. ETL and data processing workflows.
  11. Git and version control.
  12. Microsoft Excel and PowerPoint.
  13. Predictive modelling and hypothesis testing.
  14. Data pipeline development.
  15. Communication and presentation skills.

Why Join American Express?

  1. Opportunity to work with a globally recognised financial services company.
  2. Exposure to advanced AI and machine learning technologies.
  3. Opportunity to work on international business projects.
  4. Competitive salary and bonus incentives.
  5. Comprehensive medical and insurance benefits.
  6. Flexible hybrid working arrangements.
  7. Career development and professional training opportunities.
  8. Financial wellness and retirement benefits.
  9. Paid parental leave policies.
  10. Employee wellness and confidential counselling support.

Important Links

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