You will be taken to American Express’s own careers page to apply. Job ID 26014754.
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.
Requirements
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.
