American Express Hiring 2026 | Mass Recruitment Freshers for Analyst – Data Science

American Express Hiring 2026 | Mass Recruitment Freshers for Analyst – Data Science

American Express Hiring 2026 : It is a great opportunity for candidates looking to build their careers in data science and analytics. It is currently hiring for the Analyst – Data Science position, and candidates with qualifications such as MA, M.Sc, or MBA can apply.

The position is based in Gurugram and is suitable for candidates with 0 to 2 years of experience in analytics or big data-related work. Interested candidates should submit their applications online before 15 September 2026.

Below, you can find the complete details about the role, eligibility requirements, skills, responsibilities, and application process.

American Express Hiring 2026 – Job Details

Job RoleAnalyst – Data Science
Job TypeIT Jobs
QualificationMA / M.Sc / MBA
Experience0 – 2 Years
Salary / CTCBest in Industry
Job LocationGurugram
Last Date to Apply15 September 2026

Eligibility Criteria

Candidates applying for the Analyst – Data Science position should meet the following requirements:

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  • Candidates should have an MBA or Master’s degree in Economics, Statistics, or a related field from a reputed/top-tier institution.
  • Applicants should have 0–2 years of experience in analytics or big data-related work.
  • Practical experience in model development or model validation will be an advantage.
  • Candidates should have strong analytical, relationship management, and project management skills.
  • Experience using advanced statistical or quantitative techniques to solve business problems is preferred.
  • Good verbal and written communication skills are required.
  • Candidates should be comfortable working collaboratively with cross-functional teams.
  • The ability to explain complex analytical findings to business partners and senior management is important.
  • Applicants should be flexible and capable of working under tight deadlines and changing priorities.

Technical Skills Required

Candidates should have hands-on experience with at least one of the following data manipulation or programming tools:

  • Python
  • R
  • Java
  • SQL
  • SAS

Knowledge of Data Science, Machine Learning, and Artificial Intelligence is also expected. Candidates with expertise in areas such as coding, supervised and unsupervised learning, neural models, decision trees, reinforcement learning, graphical models, Bayesian models, Random Forest, Gradient Boosting, Deep Learning, text mining, and MapReduce techniques will have an advantage.

American Express Recruitment 2026 – Responsibilities

The selected candidate will be part of the Model Risk Management Group (MRMG) and will work on managing and controlling risks associated with modern Artificial Intelligence and Machine Learning models.

The role involves helping improve model quality, supporting responsible innovation, and ensuring that models meet business and regulatory expectations.

Key responsibilities include:

  • Independently reviewing and overseeing enterprise-wide models, particularly AI and ML-based models.
  • Working with models used in areas such as marketing, credit, fraud, and other business or risk functions.
  • Identifying gaps in existing processes and helping establish stronger model risk controls.
  • Supporting initiatives designed to meet evolving regulatory requirements.
  • Conducting research to identify ways to improve model performance and business impact.
  • Presenting analytical findings and recommendations to business partners, senior leaders, and model committees.
  • Challenging the underlying concepts, methodologies, and intended uses of predictive models where necessary.

Key Factors for Success

Business Outcomes

The candidate will be expected to:

  • Assess the conceptual soundness and methodology behind predictive models.
  • Help maximize business value through accurate and efficient models.
  • Explore innovative modeling methods and new approaches to variable creation.
  • Use Machine Learning techniques to improve model accuracy and efficiency.
  • Support the development of reliable modeling processes that can deliver better business outcomes.

Leadership Expectations

American Express also looks for candidates who can:

  • Think from an enterprise-wide perspective and connect their work with broader business priorities.
  • Consider the needs of customers, colleagues, partners, and shareholders when making decisions.
  • Challenge existing approaches and contribute new ideas and innovative solutions.
  • Learn quickly and make sound decisions while maintaining high standards of integrity.
  • Adopt a digital-first mindset and contribute to delivering excellent customer experiences.

About the Role at American Express

As part of Team Amex, employees get opportunities to learn new skills, develop professionally, and grow their careers. American Express promotes an environment where employees can share their ideas, contribute to meaningful projects, and make an impact.

The Model Risk Management Group (MRMG) operates within the Global Risk and Compliance Group. Its primary responsibility is to provide independent risk management oversight for American Express models and non-model tools.

This makes the position particularly relevant for candidates interested in the intersection of Data Science, Artificial Intelligence, Machine Learning, Risk Management.

How to Apply for American Express Off Campus Drive 2026?

Eligible and interested candidates can apply for the Analyst – Data Science position through the official American Express careers portal. Candidates should complete the online application process before 15 September 2026 at 10:30 AM. Applicants are advised to carefully review the eligibility requirements and provide accurate information while submitting their applications.

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And also apply in Capgemini Off Campus Drive 2026

Conclusion

The American Express drive offers an excellent opportunity for candidates with a background in Economics, Statistics, Data Science, or an MBA to start or advance their careers in analytics and model risk management.

With exposure to Machine Learning, Artificial Intelligence, predictive modeling, and enterprise-level risk management, this role can provide valuable experience for candidates interested in building a career in the data and analytics field.

If your qualifications and skills match the requirements, make sure to apply before the stated deadline.

FAQs for American Express Hiring 2026

1. What is the job role offered by American Express in this recruitment?

American Express is hiring candidates for the Analyst – Data Science position.

2. What qualifications are required for American Express Recruitment 2026?

Candidates with an MA, M.Sc, MBA, or a relevant Master’s degree in areas such as Economics or Statistics can apply, subject to the specified eligibility requirements.

3. Is prior work experience required for this position?

Yes. The position is open to candidates with approximately 0–2 years of experience in analytics or big data-related work.

4. Where is the Analyst – Data Science position located?

The job location for this role is Gurugram.

5. What is the last date to apply?

Eligible candidates should apply online by 15 September 2026 at 10:30 AM.

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Guddi is a Passionate Job Content Writer holding 5 years of Experience in this Industry.

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