Job Overview
Role: Analyst – Data Science Location: Bangalore, Karnataka Experience: Freshers (from institutes of global repute) Qualification: Undergraduate or Master’s in Computer Science, Information Technology, or Mathematics from institutes of global repute (B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc)
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, working with Google Cloud Platform (GCP) and Big Data tools to translate business requirements into technical solutions.
Roles and Responsibilities
- 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
Educational Background: Undergraduate or Master’s in Computer Science, Information Technology, or Mathematics from institutes of global repute (B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc).
Experience: Freshers (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 management tools like Rally, JIRA, and Confluence.
Competencies:
- Strong quantitative and structured problem-solving skills with excellent communication abilities.