Job Overview
Role: Analyst – Data Science Location: Bangalore Experience: Freshers Qualification: B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc (CS/IT/Maths) from institutes of global repute Key Skills: AI/ML, Python, SQL, GCP (Vertex AI), Big Data (PySpark)
Job Description
American Express is actively hiring for the role of Analyst – Data Science . This is a premier opportunity for B.E / B.Tech / M.E / M.Tech / B.Sc / M.Sc graduates (Freshers) from reputed institutes to join a global financial services leader in Bangalore . If you have a strong background in AI/ML, Python, SQL, and Google Cloud Platform (GCP) , check the details below and apply immediately. 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
- 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.
Experience: Freshers.
Mandatory Technical Skills:
- AI / ML (Strong background with proficiency)
- Python
- SQL
- Google Cloud Platform (GCP), BigQuery, and Vertex AI
- Big Data Platforms like Hadoop and PySpark
- ML Model Development Lifecycle (MDLC), including decision trees and boosting algorithms
- Notebook-based IDEs (Jupyter)
- Airflow
- Rally, JIRA, and Confluence (Familiarity with product management tools)
Competencies:
- Strong quantitative and structured problem-solving skills
- Excellent communication abilities