American Express Fresher Job Opportunity | Analyst Data Science Position | Gurugram

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Currently, American Express has job openings for the role of  Analyst Data Science , welcoming freshers (0 to 2 Years) to apply. Explore the American Express job requirements, detailed job description, and additional information below. If you meet the criteria and are interested, apply at your earliest convenience to enhance your chances of receiving an interview call from American Express.

Name of the Company: American Express

Website URL: www.americanexpress.com

Required Education: MBA, Master’s Degree

Job Profile: Analyst Data Science 

Experience: Freshers (0 to 4 Years)

Eligible Batch: Not available

Job Location: Gurugram

Interview Location: Gurugram

Salary / CTC: Disclosed During HR Interview

Number Of Job Openings: Not available

Application Deadline: Not available

Job Opening ID: 24017363

Qualifications Required for a American Express Job Opportunity:

  • Educational Qualifications is MBA, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute
  • 0-4 years’ experience in analytics or big data workstreams
  • Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred
  • Hands-on model development or validation experience
  • Strong Analytical and Relationship and project management skills for driving validation initiatives
  • Effectively communicating complex Analytical results to Business Partners and Senior Management
  • Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment
  • Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution
  • Flexibility and Adaptability to Work Within tight deadlines and changing priorities
  • Experience with atleast one of the data manipulation tools such as R, Python, SQL and SAS is a must have
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Responsibilities of the Analyst Data Science Position:

  • Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
  • Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types
  • Communicating results to partners, senior leadership and various model committees
  • Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact 
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How to apply for the American Express Analyst Data Science Role:

  • Select the “Apply Now” button provided below.
  • You will be directed to the American Express recruitment site.
  • Kindly wait for the page to fully load.
  • Log in or sign up on the American Express recruitment site, and fill the necessary details.
  • Finally, submit your application.
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How to Increase Your Chances of Getting an Interview Call for American Express Analyst Data Science Position:

  • Apply as soon as you can.
  • Take your time while applying and ensure accurate submission of all your details.
  • Make sure your resume is current and complete.

American Express Hiring Process:

  • Aptitude Test: Shortlisted candidates may be required to take an aptitude test, assessing their quantitative, logical, and verbal abilities.
  • Technical Interview: Successful candidates in the aptitude test may proceed to a technical interview where their technical skills, knowledge, and problem-solving abilities are evaluated.
  • HR Interview: Following the technical interview, candidates will face a HR interview to assess their communication skills, interpersonal qualities, and cultural fit within the organization.
  • Offer Letter: Those who successfully clear all the rounds will receive a job offer from American Express.
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Additional Notes From American Express:

  • Job Location will be Hybrid

If you have questions or encounter any issues during the American Express application process, please comment here. We’ll help you out as soon as we can!

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