American Express is hiring for the position of Analyst – Data Science in Bengaluru; Gurgaon, India. Candidates with a Master’s Degree/ MBA are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | American Express |
| Position | Analyst – Data Science |
| Qualifications | Master’s Degree/ MBA |
| Batch | 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
| Experience | Up to 18 (Months) |
| Location | Bengaluru; Gurgaon, India (Hybrid) |
Key Responsibilities:
- Develop a thorough understanding of AXP’s core business and the key drivers behind strategic decisions.
- Analyze large datasets to extract actionable business insights and design innovative solutions.
- Leverage the closed-loop capabilities of the American Express network to enhance decision-making and deliver more relevant outcomes.
- Drive innovation by developing improved approaches using big data and machine learning techniques.
- Clearly articulate and structure business findings across prospect and customer domains for presentation to leadership and key stakeholders.
- Maintain an external perspective by staying informed about developments in finance, payments, analytics, and related fields.
Eligibility Criteria:
- MBA or Master’s degree in Economics, Statistics, Computer Science, or a related field.
- Up to 18 months of experience in analytics or big data workstreams.
- Proven ability to drive project deliverables and achieve measurable business results.
- Strong team collaboration skills with the ability to work effectively in diverse environments.
- Excellent communication and interpersonal skills.
- Innovative problem-solving mindset with the ability to learn quickly and work independently on complex, unstructured initiatives.
- Ability to integrate and collaborate with cross-functional business partners globally.
- Proficiency in SAS, R, Python, Hive, Spark, and SQL.
- Familiarity with supervised and unsupervised techniques, including active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, MapReduce techniques, and feature/attribute engineering.
Preferred Skills:
- Expertise in coding, algorithm design, and high-performance computing.
About Company:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
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