Analyst-Data Science (SQL, ML&GENAI)

American Express; Gurugram District; Hybrid; INR 1,200,000 - 2,200,000; Full time

Benefits offered by this job

Bonus incentives

Hybrid/onsite/virtual options

Career development

Job summary

American Express is seeking a data-focused professional to join the CXO Personalization – GCS Digital Acquisitions team. You will help build AI-native personalization across SME acquisition channels, embedding insights into digital experiences and supporting real-time decisions.

The role emphasizes collaboration with product and engineering, developing ML-driven solutions, and measuring impact of personalization initiatives in a fast-paced marketing environment.

Qualifications

• Master’s degree in a quantitative field (Engineering, Mathematics, CS, Physics, Finance or Economics).
• 1+ year experience in data science, advanced analytics, ML, or related roles.
• Strong Python and SQL skills with hands-on ML/analytic development.

Responsibilities

• Execute personalization strategies across digital touchpoints and channels.
• Analyze customer behavior to support targeted messaging and offers.
• Collaborate with product and engineering to implement personalization features.
• Develop ML models and analytics pipelines.
• Monitor model performance and report key metrics.

Skills

Python

SQL

Data science

Machine learning

GenAI

NLP

Communication

Education

Master's degree

Tools

Analytics platforms

Job description

Job Description

The Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) powers customer acquisition, engagement, and retention through data, advanced analytics, and AI.

Job Description

The Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) powers customer acquisition, engagement, and retention through data, advanced analytics, and AI. Within AIM, the Customer Experience Optimization (CXO) Personalization – GCS Digital Acquisitions team is focused on building scalable, intelligent personalization for SME customers across acquisition channels—including website and application experiences.
This team sits at the intersection of AI/GenAI, advanced analytics, and digital product, with a mandate to build AI-native personalization capabilities. The team is responsible for shaping how we deliver relevant, context-aware experiences to SBS and Corporate prospects in real time, with a strong focus on building scalable systems and capabilities, not just analysing outcomes.
In this role, you will focus on executing personalization strategies and developing analytical solutions that improve customer engagement and conversion. You will work closely with cross-functional partners to embed personalization into digital experiences and support the delivery of scalable, data-driven use cases.
Shift Time- 1:30 PM - 9:30 PM

Responsibilities

Personalization & Digital Experience Support

• Assist in executing personalization strategies across digital touchpoints (e.g., website, landing pages, application flows).
• Analyze customer behavior and contextual data to support targeted messaging, content, and offers.
• Work with product and engineering teams to help implement personalization features on digital platforms.
• Support development of personalization use cases using basic machine learning or GenAI techniques (e.g., segmentation, next-best-action).
• Help with data preparation, model inputs, and testing under guidance.
• Contribute to experimentation and evaluation of AI-driven features.
• Work with structured and unstructured data to generate insights.
• Build queries, dashboards, and basic analytical models.
• Contribute to reusable code and analysis pipelines with guidance.
• Assist in monitoring model performance and reporting key metrics.

Data Analysis & Solution Development

Problem Solving & Insights

• Break down business problems into smaller analytical tasks with support.
• Generate insights from data and present findings clearly.
• Support measurement and analysis of personalization initiatives.

Qualifications

Minimum Qualifications

• Master’s degree in a quantitative discipline such as Engineering, Mathematics, Computer Science, Physics, Finance, or Economics.
• 1+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles.
• Strong programming skills in Python and SQL, with hands-on experience developing machine learning models and analytical solutions.
• Strong communication and interpersonal skills, with the ability to deliver clear insights and collaborate across teams.

Preferred Qualifications

• Experience developing AI/ML, NLP, or Generative AI/LLM-based solutions.
• Experience building scalable analytical workflows and production-ready solutions.
• Prior experience in marketing analytics, commercial analytics, personalisation or digital data.
• Familiarity with web/app analytics tools or experimentation platforms.

About Us

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About The Team

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.