Not specified; competitive pyy mentioned; benefits...
Not specified in the job description.
Proficiency in python programming
Experience with sql and large datasets
Current enrollment in undergraduate or graduate degree
S&P Global is seeking a Summer Intern to join their Collection Platforms & AI team, focusing on developing machine learning-powered products and capabilities. The ideal candidate will be a current undergraduate or graduate student in a quantitative field, proficient in Python and familiar with machine learning concepts
Job Summary
The role involves building production-ready AI products and pipelines for natural language understanding and data extraction.
Candidates will work within a global team on the Collection Platforms & AI team to solve high-impact business problems.
The internship offers end-to-end implementation experience from inception to productionizing solutions using applied machine learning.
Matching Summary
Match Score: 85
S&P Global is seeking a Summer Intern to join their Collection Platforms & AI team, focusing on developing machine learning-powered products and capabilities. The ideal candidate will be a current undergraduate or graduate student in a quantitative field, proficient in Python and familiar with machine learning concepts.
Salary
Not specified; Competitive pay mentioned; Benefits include health care, time off, and retirement planning
Skills & Requirements
Must-have
Proficiency in Python programming
Experience with SQL and large datasets
Current enrollment in undergraduate or graduate degree
Nice-to-have
Familiarity with core Machine Learning concepts
Experience working with GenAI models
Strong analytical skills and learning agility
Key Requirements
Indefinite right to work in Mexico required
Degree in Mathematics, Statistics, Computer Science, or related quantitative field