Analyst (Data Science) Job Openings in Bangalore 2026!!!
American Express announced job vacancy for the post of Analyst – Data Science. The place of posting will be at Bangalore (Hybrid).Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | American Express |
| Required Qualifications | Graduate / Post Graduate |
| Skills | Strong quantitative, analytical, and structured problem-solving skills |
| Category | Data Analysis |
| Work Type | Hybrid |
As a part of this team, you’ll have the opportunity to work in one of the best talent of product owners and managers in the industry. You will solve real world business problems while getting exposure to the industry’s top leaders in AI / ML product management, decision science and technology. If you are passionate in getting to know all areas of their business and can translate business needs into remarkable solutions that can impact millions, you should consider a career in Product teams.
Job Details
Θ Positions: Analyst – Data Science
Θ Job Location: Bangalore (Hybrid)
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 26001065
Roles and 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 products 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
Required Skills & 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.
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