Analyst-Data Science (SQL, ML&GENAI)

American ExpressGurugram, HaryanaHybridFull-timeJunior, 1–2 yearsListed 16 hours ago

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About this role

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

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.