Job Overview
Role: Analyst – Data Science Location: Bangalore, Karnataka Experience: Freshers (from institutes of global repute) Qualification: B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc (CS/IT/Maths) Key Skills: Python, SQL, GCP (Vertex AI), Big Data (PySpark), Machine Learning Job Type: Full-time
Job Description
For the American Express Recruitment 2026 drive, the company is seeking an Analyst to join the Data Science product team. This role is a unique blend of Technical Data Science and AI Product Management. You will not only build ML models but also contribute to the long-term AI product strategy and roadmap.
You will work with Google Cloud Platform (GCP) and Big Data tools to translate business requirements into technical solutions. The role involves driving end-to-end ML/AI product developments, transforming MVPs into production-grade capabilities, and collaborating with engineering and UX teams.
Roles and Responsibilities
As an Analyst – Data Science at American Express, your key responsibilities will include:
- Product Strategy: Contributing to the defining and articulation of long-term AI product strategy and roadmaps with clearly defined business metrics.
- Backlog Management: Prioritizing and managing product backlogs using tools like JIRA and Rally.
- Model Development: Driving end-to-end ML/AI product developments, from feature selection to deployment.
- Lifecycle Management: Contributing to all product lifecycle processes including market research, roadmap development, and requirements finalization.
- Innovation: Creating POCs (Proof of Concepts) for best-in-class AI-ML innovative products with scaling potential.
- Collaboration: Collaborating with engineering and design teams to transform MVPs into production-grade capabilities.
Skills and Eligibility Criteria
To be eligible for American Express Recruitment 2026, candidates must meet the following criteria:
- Educational Background: Undergraduate or Master’s in Computer Science, Information Technology, or Mathematics from institutes of global repute.
- Mandatory Technical Skills:
- Strong background in AI / ML with proficiency in Python and SQL.
- Knowledge of Google Cloud Platform (GCP), BigQuery, and Vertex AI.
- Familiarity with Big Data Platforms like Hadoop and PySpark.
- Understanding of the ML Model Development Lifecycle (MDLC), including decision trees and boosting algorithms.
- Tools & Frameworks:
- Knowledge of Notebook-based IDEs (Jupyter) and Airflow.
- Familiarity with product managemen