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Intern in Library Science (Python)

1.00 to 4.00 Years   Costa Rica (Costa Rica)   21 Nov, 2024
Moodys Corporation
Job LocationCosta Rica (Costa Rica)
EducationMA (Arts)BA (Arts)
SalaryAs per Industry Standards
IndustryCRM/CallCentres/BPO/ITES/Med.Trans, Financial Services/Stockbroking
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

Location(s):MIS Support Center, 4th floor, East Tower, Eurocenter Business Center, in front of Cenada, Heredia, 40104, CRLine Of Business:Data Solutions OU (DAAS OU)Job Category:Students & Early CareersExperience Level:Early CareerLibrary Science InternJob ID: 6316 - Data Solutions, Media Solutions, Enrichment/Library ScienceCosta Rica Hybrid - Part TimeAt Moodys, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are - with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.Skills and Competencies

  • Experience working with library management systems or platforms.
  • Experience with Boolean-based searching.
  • Knowledge of Business & Finance preferred.
  • Experience with text manipulation/mining using tools (Python, SQL, or similar languages/tools).
  • A natural inquisitiveness and the desire to learn new technologies and processes.
Education
  • Liberal Arts or Library/Information Science Major.
  • BA acceptable, MA preferred. Ideally one year ahead of graduation.
Start DateMarch 2025Responsibilities
  • Perform QA work on News Enrichment
  • Research company-related filings and press releases
  • Improve tagging of entities in news stories
  • Improve application of subject and industry taxonomies in news stories
  • Monitor news events and trends
  • Perform editorial duties, including editing of newsletters
About the teamThe Data Solutions division is the commercial data business of Moodys Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the worlds most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moodys Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.The team is responsible for all value-added enrichment to news content. This includes translations, topical categorization, named entity recognition of organizations, people and locations, sentiment analysis, event detection, and summarization.Working at MoodysMoodys is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but dont meet every single requirement, please apply! You may be a perfect fit for this role or other open roles. Moodys is a global integrated risk assessment firm that empowers organizations to make better decisions.Want to know more about us Please follow this link to know what identifies us as Moodys.Locations -Location(s):MIS Support Center, 4th floor, East Tower, Eurocenter Business Center, in front of Cenada, Heredia, 40104, CRLine Of Business:Data Solutions OU (DAAS OU)Job Category:Students & Early CareersExperience Level:Early Career

Keyskills :
library management systems boolean based searchingtext manipulation tools data analysis techniques research skillspython mining sql database press

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