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 :
- Good knowledge in programming using Python/C#/Java or other languages.
- Proficient knowledge in any of database, SQL/PL-SQL, writing queries and RDBMS.
- Basic knowledge of Cloud technologies (e.g. Azure, AWS, Google).
- Proficient in MS Excel.
- Experience in financial and alternative data Quantitative skills in data engineering, data science, machine learning, statistics and/or econometrics.
- The ability to analyze original, non-routine analytical/business problems in a timely and insightful manner.
- Ability to translate such problem interpretation into relevant solutions.
- Willing to work in 24*5 shift
- Ability to take initiative and self-manage time
- 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.
- 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.
- 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.
- 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.
- Daily routine would require candidate to conduct from data foundational work to a systematic data product.
- Delivers high quality data collation/analysis work that meets the needs and expectations of project owner.
- Understand the definition of alternative data and the related insights it leads to the business opportunities.
- Quality check data using internal tools and resolve data defects.
- Keeps abreast of market, industry and regulatory developments that affect the approaches and techniques used in the analysis.
- Assist in ad-hoc research activities.
Location: Hyderabad, Telangana, India
