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American Express is hiring for a fresher entry level Data Science Analyst role in India



Position:

  • Analyst - Data Science

Company:

  • American Express (AmEx)

Location:

  • Gurugram, Haryana, India

  • Bengaluru Urban, Karnataka, India

Job Type:

  • Hybrid

Job Mode:

  • Full-time

Job Requisition ID:

  • 24022972

Years of Experience:

  • 0-30 months in analytics or big data workstreams

Company Description:

  • American Express (Amex) is a globally recognized financial services corporation that empowers people and businesses to progress in extraordinary ways. With a diverse and inclusive community of colleagues, Amex is committed to fostering growth, innovation, and collaboration. The company’s mission is to deliver the world’s best customer experience with integrity and a strong sense of belonging.

  • Amex operates with a steadfast dedication to its customers, communities, and employees. By leveraging advanced technology and a customer-centric approach, the organization ensures meaningful career journeys with robust benefits, flexibility, and personal development opportunities. Recognized for its leadership and impact, Amex is a pioneer in providing seamless financial solutions across the globe.

Profile Overview:

  • The Analyst - Data Science position resides within the Credit and Fraud Risk (CFR) team at American Express. This team focuses on driving profitable business growth by mitigating fraud risks and maintaining industry-low credit loss rates.

  • The role emphasizes using cutting-edge technology, data science, and machine learning to solve real-world business challenges. From targeting ideal customers for Amex products to optimizing their onboarding experience, the role influences every decision with groundbreaking analytics. The position offers exposure to top industry leaders and provides a platform for innovative problem-solving with a significant impact on millions of customers worldwide.

Responsibilities:

  • Develop, deploy, and validate predictive models to drive profitable decisions in areas such as risk, fraud, and marketing.

  • Gain a deep understanding of American Express’s core business and decision-making levers.

  • Analyze extensive datasets to derive business insights and propose innovative solutions.

  • Leverage Amex’s closed-loop network to create intelligent and relevant decisions.

  • Focus on innovation by developing new approaches using big data and machine learning.

  • Clearly articulate business findings across prospect and customer domains to leadership and stakeholders.

  • Stay updated on industry trends and developments in finance, payments, and analytics.

Qualifications:

Required:

  • MBA or Master’s Degree in Economics, Statistics, Computer Science, or related fields.

  • 0-30 months of experience in analytics or big data projects.

  • Proven ability to deliver project outcomes that achieve business results.

  • Effective teamwork and collaboration skills.

  • Strong communication and interpersonal abilities.

  • Innovative mindset with the ability to independently address complex, unstructured challenges.

  • Familiarity with integrating cross-functional business partners worldwide.

  • Proficiency in tools and techniques such as:

    • Programming: SAS, R, Python, Hive, Spark, SQL

    • Machine Learning: Active learning, transfer learning, neural models, decision trees, reinforcement learning, Bayesian models, and MapReduce techniques.

Preferred:

  • Expertise in coding, algorithm development, and high-performance computing.

Additional Info:

  • American Express prioritizes employee well-being through holistic benefits that address physical, financial, and mental health needs.

  • Key benefits include:

    • Competitive base salaries and bonus incentives.

    • Retirement and financial well-being support.

    • Comprehensive health benefits, including medical, dental, vision, life insurance, and disability coverage (location-dependent).

    • Flexible working arrangements, including hybrid, onsite, or virtual setups based on role and business requirements.

    • Generous parental leave policies (location-specific).

    • Free access to global on-site wellness centers staffed with medical professionals (location-specific).

    • Confidential mental health counseling through the Healthy Minds program.

    • Career development and training opportunities.

  • American Express is an equal opportunity employer and ensures employment decisions are made without bias toward race, color, religion, gender, sexual orientation, national origin, veteran status, disability, age, or other protected statuses.

  • Employment with American Express is contingent on successful completion of a background verification check in accordance with applicable laws and regulations.


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