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American Express Analyst Data Science Hiring :-
American Express is hiring candidates for the role of Analyst Data Science for the Bangalore / Pune, India location. The complete details about American Express Analyst Data Science are as follows.
American Express Careers 2025 – Job Details
Job Role: Analyst Data Science
Qualification: UG/PG (Computer Science, IT, Mathematics)
Batch: Recent batches can apply
Experience: Freshers
Salary: ₹4 – 7 LPA (expected)
Job Location: Bengaluru, Gurgaon
Last Date: Apply ASAP
Job Responsibilities
- Help in defining and planning long term AI product roadmap with clear goals.
- Solve complex business problems using data and AI solutions.
- Work with engineers, designers and product managers to deliver AI/ML projects.
- Create Proof of Concepts (POC) for innovative AI-ML products.
- Support in product lifecycle tasks like research, analysis, planning and development.
- Translate product roadmap into simple requirements and acceptance criteria.
- Provide training in AI, Cloud, Hive and Spark for different level users.
Required Skills & Qualifications
- Good in math, problem solving and logical thinking.
- Knowledge of Python, SQL, Data Analytics, Visualization tools.
- Understanding of ML model lifecycle, feature selection, decision trees, boosting algorithms etc.
- Experience (academic/project) with Hadoop, PySpark, Big Data tools.
- Familiarity with Google Cloud Platform, Big Query, Vertex AI.
- Ability to work in global teams and communicate effectively.
- Undergraduate or Master’s degree in CS / IT / Mathematics from reputed institute.
- Knowledge of tools like Jupyter, Airflow, JIRA, Confluence is an advantage.
Why Join American Express?
Working at Amex means you will not just do coding or analysis, but you will solve real life problems in finance industry using AI and ML. You will also get mentorship, global exposure and chance to work on innovative projects that can impact millions of users.
How to Apply?
All interested and eligible candidates can apply for American Express Analyst – Data Science role through the official link below. Don’t wait too long, apply as soon as possible.