Intern, Data Science
Company: S&P Global CareersCTC: Best in ClassLocation: Hyderabad
Job Description
About the Role:
Grade Level (for internal use):
05
Internship Duration: 6 months
Team:
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.
Impact:
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.
Responsibilities
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.
Basic Qualifications
Fresher - B.Tech CSE or M.Tech in Data Science
Preferably some previous relevant background/experience in financial and alternative data Quantitative skills in data engineering, data science, machine learning, statistics and/or econometrics are highly desirable
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
Proficient in MS Excel. Familiar with SQL/Python is a plus
Ability to take initiative and self-manage time
Strong communications skills
About S&P Global Commodity Insights
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.
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