American Express Data Science Analyst Hiring – 2025

About American Express

American Express is a global leader in financial services with more than 175 years of innovation, customer support, and operational excellence. The company is known for its strong values, inclusive culture, and deep commitment to employee development. At American Express, every voice matters, and employees have access to learning opportunities, leadership programs, and career growth support.
The organization values collaboration, integrity, and accountability, making it an ideal workplace for data science and analytics professionals who want to solve complex business challenges.

Position Overview

The American Express Data Science Analyst hiring initiative focuses on expanding the GSG Advanced Analytics team, part of the GSG MIS Center of Excellence. This role involves working on multi-portfolio data science and machine learning projects across several servicing areas within the GSG organization.

The Data Science Analyst will be responsible for converting business challenges into data-driven solutions, applying advanced analytics techniques, experimenting with new algorithms, and building scalable machine learning models. A strong understanding of Python, statistics, NLP, and deep learning frameworks is expected.

This is a hybrid role based in Gurugram, Haryana, India.

How the Role Creates Impact

The Data Science Analyst directly impacts American Express operations by:

• Translating business needs into machine learning and NLP solutions
• Enhancing servicing processes with predictive models
• Driving operational efficiency using ML and deep learning
• Handling large datasets to uncover insights
• Designing scalable data science solutions
• Improving model accuracy through rigorous testing and validation

This position requires both technical depth and business understanding.

Key Responsibilities

Business Problem Understanding

• Understand the overall business context and translate business challenges into machine learning roadmaps.
• Help define problem statements and align them with data science solutions.

Machine Learning Development

• Apply ML techniques such as regression, classification, deep learning, supervised and unsupervised models.
• Run experiments, optimize algorithms, and validate model performance using clear metrics.

NLP and Deep Learning

• Work on NLP-based solutions for various servicing domains.
• Develop models using Transformers, LSTMs, CNNs, and other NLP architectures.
• Apply validation and performance testing for NLP models.

Coding and Engineering

• Write, debug, and compile ML code using Python and related libraries.
• Work with large datasets and design scalable solutions.
• Use statistical and mathematical foundations of advanced ML algorithms.

Collaboration

• Work with cross-functional teams across GSG, data engineers, business managers, and product groups.
• Present insights, communicate findings, and offer recommendations.

Required Skills and Qualifications

Minimum Qualifications

• Proven experience in machine learning techniques: regression, classification, supervised and unsupervised models, recommenders, deep learning, etc.
• Strong data wrangling and visualization abilities.
• Hands-on experience with SQL.
• Ability to work in collaborative, cross-functional environments.
• A research-oriented mindset and willingness to experiment.

Preferred Qualifications

• Master’s degree in Mathematics, Engineering, Statistics, Computer Science, Economics, or a related quantitative field.
• Research papers or publications in NLP, deep learning, or GenAI.
• Experience with Transformers, LSTMs, CNNs, or large language model fine-tuning.
• Advanced math foundations: linear algebra, Bayesian statistics, group theory.
• Strong Python foundation with libraries such as pandas, numpy, nltk, statsmodels, pyspark, spacy, gensim, Transformers.
• Deep learning experience with TensorFlow or PyTorch.

Eligibility Criteria

To qualify for the American Express Data Science Analyst hiring, candidates must meet the following:

• Strong experience in ML, data science, or analytics
• Hands-on coding ability in Python
• Ability to handle large datasets
• Working knowledge of SQL
• Experience applying NLP techniques
• Clear communication skills
• Ability to work in hybrid environments
• Research mindset and curiosity for experimentation

Tools and Technologies Used

Candidates will work with:

• Python and ML libraries (pandas, numpy, scikit-learn, PyTorch, TensorFlow)
• NLP libraries (nltk, spaCy, gensim, Transformers)
• SQL
• Deep learning frameworks
• Visualization tools
• Big data environments (pyspark preferred)

Salary and Compensation

American Express offers a competitive compensation package, which typically includes:

• Competitive base salary
• Annual performance bonuses
• Support for retirement and financial well-being
• Paid parental leave
• Comprehensive medical, vision, dental, and life insurance
• Disability benefits
• Hybrid work model options
• Access to wellness centers and counseling programs

Compensation aligns with American Express’s global standards for data science and engineering roles.

Work Location and Model

• Location: Gurugram, Haryana, India
• Worksite: Hybrid (office + remote depending on business needs)
• Type: Full-Time

This model provides flexibility while ensuring efficient teamwork and project execution.

Employee Benefits and Work Culture

American Express promotes an inclusive, empowering, and supportive culture. Benefits include:

• Global wellness centers
• Free mental health counseling through the Healthy Minds program
• Leadership development and training opportunities
• Strong focus on diversity, equity, and inclusion
• Career mobility and international opportunities
• Supportive policies for physical, mental, and financial well-being

Career Growth Opportunities

The Data Science Analyst role opens pathways to roles such as:

• Senior Data Scientist
• Machine Learning Engineer
• NLP Specialist
• Deep Learning Researcher
• Analytics Manager
• Product Analytics Lead

The company invests in continuous upskilling, technical training, and leadership development.

Why This Role Is a Strong Career Choice

The American Express Data Science Analyst hiring initiative offers:

• Exposure to high-impact ML and NLP projects
• Opportunity to work with large datasets and advanced modeling
• Hybrid flexibility
• Strong learning and career development programs
• Chance to influence business strategy using data
• Inclusive and collaborative work culture
• Competitive compensation and global exposure

This role is ideal for candidates who enjoy working at the intersection of analytics, ML innovation, and business decision-making.

How to Apply

Use the official American Express careers portal to apply.

Apply Here: Click Here

Application Steps

1. Visit the official job link.
2. Review the job description and requirements.
3. Click Apply.
4. Log in or create an American Express careers account.
5. Upload your resume and complete required details.
6. Submit the application.
7. Wait for communication from recruitment regarding interviews.

FAQs

1. Where is the role located?
Gurugram, Haryana, India.

2. What is the work model?
Hybrid, depending on business needs.

3. Is Python required?
Yes. Strong Python skills are necessary.

4. Does the job involve NLP?
Yes. NLP techniques and deep learning models are a major focus.

5. What ML techniques are expected?
Regression, classification, deep learning, supervised and unsupervised models.

6. Is a master’s degree required?
Not mandatory, but preferred for advanced analytics roles.