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 : www.americanexpress.com

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.