American Express Hiring Fresher Analyst Data Science

American Express Careers 2025: hiring freshers for Analyst Data Science. Under graduate/Master’s in Computer Science / Information Technology / Mathematics from institutes of global repute  are eligible to apply. The detailed eligibility and application process are given below.

Details About American Express Careers 2025:

Company Website : 

Job Role: Analyst Data Science

Qualification: Under graduate/Master’s

Batch: Recent Batches

Experience: Freshers

Salary: ₹ 4 to 7 LPA (Expected)

Job Location: Bengaluru & Gurgaon

Last Date: ASAP

Job Responsibilities:

  • Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes.
  • Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives.
  • Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions.
  • Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development.
  • Translate product roadmap into well defined requirements and acceptance test criteria.
  • Drive end-to-end ML / AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams
  • Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption
  • (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users
  • Create POCs for best in class AI-ML innovative products with the potential to scale

Qualifications:

  • Strong quantitative, analytical, and structured problem-solving skills.
  • Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization
  • Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families – Decision Trees, Boosting algorithms, optimizations considerations for ML models, deployment and serving challenges
  • Knowledge of Google Cloud Platform (GCP), Big Query, GCP AI / ML capabilities such as Vertex AI.
  • Knowledge of Big Data Platforms such as Hadoop and PySpark.
  • Knowledge of designing and building big data tools and frameworks
  • Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
  • Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies.
  • Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams
  • Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow.
  • Familiarity with product management tools such as Rally, JIRA, and Confluence
  • Excellent verbal and written communications skills
  • Undergraduate/Master’s in Computer Science / Information Technology / Mathematics from institutes of global repute.

How to Apply For American Express Hiring 2025?

All interested and eligible candidates can apply for American Express Hiring online by the following link as soon as possible.

Apply Link:  

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  1. Click on the “Apply here” button provided above. You will be redirected to the official career page.
  2. Click on “Apply”.
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  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

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