Analyst – Data Science

Candidates typically face a multi‑stage process: an initial resume filter, followed by a timed online coding and aptitude test. The first technical interview dives deep into machine‑learning concepts, GCP services, and SQL queries, while the second focuses on product‑oriented case studies such as designing a credit‑risk model. The HR round assesses cultural fit and communication skills. Overall difficulty is moderate to high, with emphasis on practical AI/ML knowledge and problem‑solving ability.

Round 1: Resume Screening → Round 2: Online Technical Assessment (Python/SQL coding + Aptitude) → Round 3: Technical Interview 1 (ML algorithms, GCP, SQL) → Round 4: Technical Interview 2 (AI product case study) → Round 5: HR Interview (behavioral and cultural fit)

American Express is known for a collaborative, inclusive work culture that encourages continuous learning and innovation. Employees benefit from structured mentorship programs, clear career progression paths, and a healthy work‑life balance supported by flexible working arrangements.

Eligibility Criteria: - Educational Qualification: B.E/B.Tech/B.Sc or M.E/M.Tech/M.Sc in Computer Science, Information Technology, Mathematics or related fields. - Minimum Academic Performance: 60% aggregate (or CGPA equivalent) in the qualifying degree. - Batch: 2026 (freshers) or graduating in 2025‑2026. - Backlog Policy: No active backlogs at the time of joining; a maximum of 2 backlogs allowed in the final year, provided they are cleared before the joining date. - Technical Prerequisites: Strong foundation in AI/ML, Python, SQL, and hands‑on experience with GCP (Vertex AI, BigQuery) and Big Data tools (PySpark/Hadoop).

American Express is a globally integrated payments and financial services company that has built a reputation for innovation, data‑driven decision making and a customer‑centric culture. With a presence in over 130 countries, Amex combines cutting‑edge technology with deep financial expertise to deliver products and experiences that enrich lives. In India, the firm is expanding its analytics and AI capabilities, offering fresh talent the chance to work on high‑impact projects that influence millions of transactions daily. The company’s work environment emphasizes continuous learning, mentorship, and a collaborative spirit, making it an attractive destination for ambitious graduates. The role of Analyst – Data Science in the Bangalore office is a hybrid position that blends core data‑science engineering with AI product management. As a fresher, you will be part of the Data Science product team, responsible for turning business problems into scalable AI solutions on Google Cloud Platform. You will not only develop machine‑learning models but also help shape the product roadmap, prioritize features, and ensure that prototypes evolve into production‑grade services. Key Responsibilities: 1. Contribute to the definition and articulation of long‑term AI product strategy and measurable business metrics. 2. Prioritize and manage product backlogs using JIRA/Rally, ensuring alignment with stakeholder expectations. 3. Design, develop, and validate end‑to‑end ML models, from data ingestion to feature engineering and model training. 4. Deploy models on GCP services such as Vertex AI and monitor performance in real‑time. 5. Create proof‑of‑concepts (POCs) for innovative AI‑ML products with scalability in mind. 6. Collaborate closely with engineering, UX, and data‑engineering teams to transition MVPs into production‑ready solutions. 7. Conduct market and competitor research to inform product enhancements and roadmap decisions. 8. Document model lifecycle processes, including data lineage, versioning, and compliance requirements. 9. Participate in code reviews, knowledge‑sharing sessions, and continuous improvement initiatives. 10. Assist in preparing technical and business presentations for senior leadership. Tech Stack: Python, SQL, PySpark, Hadoop, Google Cloud Platform (BigQuery, Vertex AI), Jupyter notebooks, Airflow, Git, JIRA/Rally, Confluence. Growth Path: Starting as an Analyst – Data Science, high performers can progress to Senior Analyst, AI Product Manager, or Data Science Lead within 2‑3 years, with opportunities to move into specialized roles such as ML Engineer, Solutions Architect, or Business Analytics Manager. Why Join American Express? The company offers a best‑in‑industry compensation package, exposure to global financial data, and a culture that values curiosity and innovation. Freshers get mentorship from seasoned data scientists, access to world‑class cloud infrastructure, and the chance to see their models impact real‑world financial products. The blend of technical depth and product ownership makes this role a unique launchpad for a career in AI and analytics.