S&P Global enable governments, businesses and individuals with the right data, expertise and connected technology so that they can make decisions with conviction.

S&P Global looking for fresher graduates with good programming skills, having good financial and alternative data Quantitative skills in data engineering, data science, machine learning, statistics and/or econometrics for Data Science Intern role.

Job Designation : Data Science Intern

Qualification : BTech/MTech

Experience : Freshers

kill Set :

  1. Good knowledge in programming using Python/C#/Java or other languages.
  2. Proficient knowledge in any of database, SQL/PL-SQL, writing queries and RDBMS.
  3. Basic knowledge of Cloud technologies (e.g. Azure, AWS, Google).
  4. Proficient in MS Excel.
  5. Experience in financial and alternative data Quantitative skills in data engineering, data science, machine learning, statistics and/or econometrics.
  6. The ability to analyze original, non-routine analytical/business problems in a timely and insightful manner.
  7. Ability to translate such problem interpretation into relevant solutions.
  8. Willing to work in 24*5 shift
  9. Ability to take initiative and self-manage time
  10. Strong communications skills

Job Description :

The Data Science and Modelling team is responsible for creating and maintaining end to end AI/ML solutions catering to multiple assets across commodity markets. The team works from across different global offices, including India, China, Mexico and US. The intern will be joining a global team where they would be able to collaborate, architect and deepen their domain and technical knowledge using multiple disciplines of AI.

  1. The candidate will be expected to conduct structured data and analysis on original and non-routine business problems in a timely, accurate and insightful manner and combine this analysis with their understanding of the projects at hand to provide a solution. In this role the intern will provide vital support in the data product development initiatives in Data Science and Modelling.
  2. The day-to-day job requires undertaking all of the activities associated with these efforts including data sourcing, data collation, data analysis, model running and results collation.
  3. The Intern will need to work independently/collaboratively under tight deadlines to consistently produce high quality work including data verification, data analysis results, presentation materials and interim deliverables, for which in all cases will have full accountability.
  4. Daily routine would require candidate to conduct from data foundational work to a systematic data product.
  5. Delivers high quality data collation/analysis work that meets the needs and expectations of project owner.
  6. Understand the definition of alternative data and the related insights it leads to the business opportunities.
  7. Quality check data using internal tools and resolve data defects.
  8. Keeps abreast of market, industry and regulatory developments that affect the approaches and techniques used in the analysis.
  9. Assist in ad-hoc research activities.

Location: Hyderabad, Telangana, India

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