Governed signal Official source

SIG-1307: Standard Chartered

The Singapore AI Research Internship seeks students in Computer Science, AI, Data Science, Engineering or related fields, with working Python knowledge and prototype-building experience, ideally involving GenAI, LLMs or ML frameworks.

Observed · Singapore · 2027 AI Research Internship Programme / requisition 64736 · Subject and technical skills

Evidence passage recorded against the source

studying Computer Science, AI, Data Science, Engineering or a related discipline ... working knowledge of Python

LimitThe passage is what the research lead recorded against the official page on the observation date. Pages change; check the source and the retrieval date before relying on it.

Scope as recorded

Market
Singapore
Programme or route
2027 AI Research Internship Programme / requisition 64736
Category
Subject and technical skills
Observed
Verification
Official employer primary source reviewed 2026-10-29
Publication ruling
Net-new governed observation; The employer uses 'ideally' for GenAI/LLM experience; not a strict mandatory technology stack.
Record status
Active
Corpus layer
Append-only canonical supplement (publication-rulings-supplement-48-2026-10-29.csv)

Official source record

https://jobs.standardchartered.com/job/AI-Research-Internship-Programme-Singapore-2027/64736-en_GB/

SRC-469 · retrieved 29 October 2026 · Official employer primary-source webpage · source record page · supports 4 signals

  • Standard Chartered Singapore AI Research Internship 2027 requisition 64736

LimitOne signal describes one institution, programme, market and date. It is not evidence about other programmes, offices or cycles, and it is not a prevalence estimate.

Cite this object

Who Gets In? (Elite Careers Strategy), SIG-1307 Standard Chartered, observed 29 October 2026, https://whogetsin.com/signals/SIG-1307

Preserve the institution, programme, geography, observation date and limitation. Do not generalise a single signal to an institution-wide or sector-wide rule.

CITATION.cff

This page: revised . Corpus: 1387 dated facts (signals) from 494 official source records, last canonical update . Release notes