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American Express
American Express
B2Bबैंकिंगवित्त
American Express एक वैश्विक वित्तीय सेवा कंपनी है, जो बैंकिंग, वित्त और B2B भुगतान के क्षेत्र में काम करती है। इसके व्यवसाय में उपभोक्ता, व्यवसाय और कॉर्पोरेट क्रेडिट कार्ड; भुगतान और मर्चेंट सेवाएँ; बचत खाते, सावधि जमा और व्यक्तिगत ऋण; साथ ही रिवॉर्ड, यात्रा कार्यक्रम, कॉर्पोरेट भुगतान समाधान, वित्तीय शिक्षा, सुरक्षा सेवाएँ तथा कार्डधारक और मर्चेंट सहायता शामिल हैं।
LinkedIn
कंपनी की नौकरियाँ

Senior Data Science Analyst, Machine Learning and GenAI – American Express, Gurugram Hybrid

Senior Analyst developing machine learning, GenAI, and decision-science solutions for American Express servicing. The role covers predictive modeling, recommendations, experimentation, and production-ready AI capabilities.

INभारतहाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा विश्लेषक
PythonSQL

विवरण

  • Create analytical solutions, predictive models, recommendation systems, and decisioning methods that improve servicing, personalization, colleague effectiveness, and operational performance.
  • Analyze large customer, behavioral, interaction, and operational datasets to uncover opportunities, engineer features, test hypotheses, and turn findings into practical solutions.
  • Develop and assess machine learning and GenAI solutions using suitable modeling, experimentation, and validation methods.
  • Support Agentic AI workflows, transformer-based recommendations, Conversational AI and LLM applications, and advanced personalization or next-best-action initiatives.
  • Design experiments and performance measures to evaluate AI quality, model effectiveness, business impact, and opportunities for ongoing improvement.
  • Produce robust analytical code and collaborate with data, technology, and platform teams on productionization, monitoring, and continuous enhancement of Decision Science solutions.
  • Build cross-functional partnerships, explain analytical findings clearly, and convert technical results into actionable recommendations.
  • Track developments in machine learning, GenAI, recommendation systems, and decision intelligence while testing relevant methods and sharing reusable practices across GSDS.

आवश्यकताएँ

  • Master’s degree in a quantitative discipline such as engineering, computer science, mathematics, statistics, economics, or finance.
  • At least two years of professional experience in data science, machine learning, advanced analytics, or a related quantitative field.
  • Proficiency in Python, SQL, or comparable analytical tools, with experience developing models such as tree-based, regression, classification, or clustering techniques.
  • Exposure to LLMs, GenAI, or modern deep learning, together with a strong interest in emerging AI capabilities.
  • Strong analytical and conceptual reasoning, including the ability to address complex, unstructured business problems.
  • Clear written and verbal communication skills and the ability to work effectively with cross-functional partners.
  • Practical exposure to Agentic AI frameworks, transformer architectures, transformer-based recommendation systems, Conversational AI, LLM applications, embeddings, or semantic modeling.
  • Experience with personalization, recommendation systems, next-best-action, optimization, experimentation, or customer decisioning.
  • Experience processing and analyzing large structured or unstructured datasets and converting models into scalable analytical solutions.
  • Understanding of model and AI evaluation, productionization, monitoring, or MLOps and LLMOps concepts.
  • Curiosity about customer servicing and the ability to connect technical work with measurable customer and business results.

लाभ

  • Competitive base salary.
  • Bonus incentive opportunities.
  • Support for financial well-being and retirement planning.
  • Medical, dental, vision, life insurance, and disability coverage, subject to location.
  • Flexible hybrid, on-site, or virtual work arrangements based on the role and business needs.
  • Generous paid parental leave, subject to location.
  • Complimentary access to global on-site wellness centers staffed by nurses and doctors, subject to location.
  • Free, confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

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