American Express Jobs for Freshers 2026 | Hiring for Analyst – Data Science

American Express Jobs for Freshers 2026 | Hiring for Analyst – Data Science

American Express Jobs for Freshers 2026 : American Express has announced a recruitment opportunity for the Analyst – Data Science position. Candidates with qualifications such as M.E., M.Tech, M.A., M.Sc., or MBA can apply for this role. The opening is available in Bengaluru and Gurugram and is suitable for candidates with up to 30 months of relevant experience.

If you are interested in building a career in data science, analytics, and machine learning, this could be a good opportunity to work on real-world business problems. Eligible candidates can submit their applications online through the official American Express careers portal. The last date to apply is 21 September 2026.

American Express Jobs for Freshers 2026 Details

Particulars	Details
Company	American Express
Job Role	Analyst – Data Science
Job Type	IT Jobs
Qualification	M.E./M.Tech/M.A./M.Sc./MBA
Experience	0 – 30 Months
Salary/CTC	Best in Industry
Job Location	Bengaluru/Gurugram
Last Date to Apply	21 September 2026

American Express Hiring 2026 – Detailed Eligibility

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

Educational Qualification

• Candidates should have an MBA or a master’s degree in Economics, Statistics, Computer Science, or a related field.
• Applicants should have 0 to 30 months of experience in analytics or big data-related workstreams.
• Candidates should be comfortable working as part of a team and collaborating with different stakeholders.
• The ability to manage project deliverables and contribute toward business goals is expected.
• Good communication and interpersonal skills are important for this position.
• Candidates should be able to solve problems creatively, learn new concepts quickly, and work independently on complex or less-structured projects.
• The role also requires working with cross-functional business teams across different locations worldwide.

Technical Skills

Candidates with knowledge or experience in technologies such as the following will be considered:

• SAS
• R
• Python
• Hive
• Spark
• SQL

Knowledge of machine learning and data science techniques is also useful, including:

• Supervised and unsupervised learning
• Active learning
• Transfer learning
• Neural models
• Decision trees
• Reinforcement learning
• Graphical models
• Gaussian processes
• Bayesian models
• MapReduce techniques
• Attribute engineering

Preferred Qualifications

Candidates with strong knowledge of coding, algorithms, and high-performance computing may have an added advantage.

Roles and Responsibilities

As an Analyst – Data Science at American Express, selected candidates will work on a range of data-driven business problems. Some of the key responsibilities include:

• Develop a strong understanding of the core American Express business and the factors that influence business decisions.
• Work with large datasets to identify useful insights and develop innovative solutions.
• Use data from the American Express network to help improve the quality and relevance of business decisions.
• Explore new approaches involving big data, analytics, and machine learning.
• Present business findings in a clear and structured manner to senior leaders and important business partners.
• Keep up with developments in areas such as finance, payments, analytics, and data science.
• Contribute to the development, deployment, and validation of predictive models.
• Support the use of data science and economic logic to help make profitable decisions in areas such as risk, fraud, and marketing.

Job Description

In this role, candidates will get an opportunity to work on practical business challenges while gaining exposure to experienced professionals in analytics, data science, and machine learning.

The position involves using data to solve complex problems and developing solutions that can have an impact on a large customer base. Candidates will also work on predictive models and help apply those models to business decisions across areas such as risk management, fraud prevention, and marketing.

This role can be particularly suitable for candidates who enjoy working with data, solving analytical problems, and applying machine learning techniques to real-world business situations.

How to Apply for American Express Off Campus Drive 2026?

Interested and eligible candidates can apply online through the official American Express careers website.

Candidates should complete the application process and submit their details before the deadline.

Apply Link : Click Here

And also apply in Siemens Recruitment Jobs 2026

Conclusion

American Express Recruitment 2026 offers an opportunity for qualified candidates to apply for the Analyst – Data Science position in Bengaluru or Gurugram. Candidates with a relevant master’s degree or MBA and up to 30 months of experience can consider applying.

The role provides exposure to data analytics, machine learning, predictive modelling, and business problem-solving. Interested candidates should complete their online application before 21 September 2026.

FAQs for American Express Recruitment 2026

1. What is the job role offered by American Express Recruitment 2026?

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

2. What qualifications are required for the Analyst – Data Science role?

Candidates with an MBA or a master’s degree in Economics, Statistics, Computer Science, or a related field are eligible to apply.

3. What is the experience required for American Express Recruitment 2026?

The position is open to candidates with 0 to 30 months of relevant experience in analytics or big data-related work.

4. Where is the job located?

The position is available in Bengaluru and Gurugram.

5. What is the last date to apply?

Eligible candidates should apply online on or before 21 September 2026.

6. What skills are useful for this position?

Knowledge of Python, R, SAS, SQL, Hive, Spark, machine learning, algorithms, and data analytics can be useful for the Analyst – Data Science role