Data Science Intern

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.

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
result 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.