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American Express is hiring for Analyst – Data Analytics/ Data Science | Apply Now!

For More Job Updates : Follow the Get Live Job channel on WhatsApp:Click Here


American Express Data Analytics/Data Science Analyst - Gurgaon, India (Hybrid)

Calling all data enthusiasts! Are you passionate about using data to solve real-world problems and drive business growth? Do you have a keen eye for detail and a knack for identifying patterns? If so, then American Express has the perfect opportunity for you!

Join our team of talented data analysts and data scientists in Gurgaon, India. In this hybrid role, you'll have the chance to:

  • Explore and analyze large datasets using advanced techniques like exploratory mathematics and statistics.
  • Develop innovative solutions using machine learning and AI to prevent fraud and optimize decision-making processes.
  • Collaborate with diverse stakeholders across the organization to deliver impactful results.
  • Contribute to a fast-paced and dynamic environment where innovation is encouraged.

Here's what we're looking for:

  • Bachelor's or Master's degree in engineering, data science, computer science, information technology, information management, statistics, or related fields.
  • 0-3 years of experience in analytics, modeling, or decision science.
  • Strong quantitative skills and the ability to interpret diverse data attributes.
  • Familiarity with modeling design practices and experience with machine learning/AI data products (a plus).
  • Excellent communication and collaboration skills.
  • Adaptability and a willingness to learn.

What American Express offers:

  • Competitive salary and benefits package.
  • Opportunity to work on challenging and impactful projects.
  • Collaborative and supportive work environment.
  • Chance to make a real difference in the financial services industry.

For More Job Updates : Follow the Get Live Job channel on WhatsApp:Click Here

Apply Link(Analyst – Data Analytics):  Click Here

Apply Link(Analyst –Data Science):  Click Here

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