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

pinggu.info

Hybrid (office presence required twice a week)
Data integration from multiple sources
Develop and maintain etl/elt pipelines
Perform data analysis for insights
S&P Global is seeking a motivated Data & AI Intern to assist with data integration, analytics, and engineering tasks. This internship offers hands-on experience in a dynamic environment, allowing candidates to work closely with experienced professionals and gain exposure to modern data ecosystems

Job Summary

  • This role 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: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective.
  • Our benefits include Health & Wellness, Flexible Downtime, Continuous Learning, Invest in Your Future, and Family Friendly Perks.

Matching Summary

Match Score: 85

S&P Global is seeking a motivated Data & AI Intern to assist with data integration, analytics, and engineering tasks. This internship offers hands-on experience in a dynamic environment, allowing candidates to work closely with experienced professionals and gain exposure to modern data ecosystems.

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
  • Follow data quality and security best practices

Nice-to-have

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

Key Requirements

  • Currently enrolled in or recently completed Bachelor's or Master's degree
  • Strong understanding of Databases and SQL
  • Basic data structures and algorithms knowledge
  • Willingness to work night shift hours
  • Availability to work from the office twice a week
  • Good problem-solving and analytical skills
  • Strong communication and documentation abilities

Work Rights

Not specified

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