Data & Ai Intern (data Integration, Analytics & Engineering)

Spgretailjobs

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Data integration from multiple sources
Develop and maintain etl/elt pipelines
Perform data analysis for insights
** S&P Global is seeking a Data & AI Intern to assist with data integration, analytics, and engineering tasks, offering hands-on experience in a fast-paced environment. Ideal candidates are currently pursuing or have recently completed a degree in relevant fields and possess a strong understanding of databases and SQL. The internship provides valuable mentorship and opportunities for career growth in the data and AI sectors. **

Job Summary

  • This internship provides hands-on exposure to data integration, data analysis, data engineering, and applied AI, working alongside experienced professionals on real-world data platforms and pipelines.
  • Our mission is Advancing Essential Intelligence, and our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
  • S&P Global offers comprehensive benefits including health & wellness, flexible downtime, continuous learning resources, and investment in your future.

Matching Summary

Match Score: 75

** S&P Global is seeking a Data & AI Intern to assist with data integration, analytics, and engineering tasks, offering hands-on experience in a fast-paced environment. Ideal candidates are currently pursuing or have recently completed a degree in relevant fields and possess a strong understanding of databases and SQL. The internship provides valuable mentorship and opportunities for career growth in the data and AI sectors. **

Skills & Requirements

Must-have

  • Data integration from multiple sources
  • Develop and maintain ETL/ELT pipelines
  • Perform data analysis for insights
  • Work with structured and semi-structured datasets
  • Contribute to AI/ML initiatives
  • Work night shift hours
  • Availability to work from office twice a week

Nice-to-have

  • Experience with Python, SQL, or similar
  • Familiarity with data pipelines, APIs, cloud platforms
  • Knowledge of BI tools or data visualization
  • Basic understanding of Machine Learning or AI
  • Familiarity with data warehousing and analytics

Key Requirements

  • Currently enrolled in or recently completed a Bachelor’s or Master’s degree
  • Strong understanding of Databases and SQL
  • Basic data structures and algorithms knowledge
  • Good problem-solving and analytical skills
  • Strong communication and documentation abilities

Work Rights

Not specified

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