S&P Global Is Hiring Freshers As Data Scientist For All Graduates

S&P Global Is Hiring Freshers Details:

About Company:

S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

Company Name: S&P Global

Job Profile: Apprentice, Data Scientist

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Work Locations: Hyderabad / Bangalore

Salary: Not Disclosed

Job Category: Information Technology

The Team: 

As part of Content Vortex, we are leveraging Gen AI to extract data from drilling completion and permit documents. Every state that has drilling activity has their own unique sets of documents. Currently it is mostly a manual process to extract the data from the documents into the database.

The Impact:

• Every US state that has drilling activity has their own unique sets of documents. Currently it is mostly a manual process to extract the data from the documents into the database. Using Gen AI will help automate the data extraction.
• The role offers work on Gen AI related tasks such as prompt engineering, using Langchain to connect to the LLM’s and run the prompts, and quality control with respect to the accuracy of the data extracted.
• This role is focused on helping the data scientists with the post extraction data analysis in order to quantify the effectiveness of the prompts and in order to decide if further prompt engineering needs to take place.

Responsibilities:

• Use existing/create Python files to automate the data analysis of the extracted data in order to create a ground truth.
• Maintain all data analysis cleanly in Excel spreadsheets.
• Help the data scientists with any data analysis or other data science as the need arises.

What We’re Looking For:

Basic Required Qualifications:

• Good Python skills in order to maintain and create Python files for data analysis.
• Competency with Excel in order to store and present data analysis.
• Knowledge of SQL (PostgreSQL will be the platform) in order to write basic queries.
• Good data analysis skills.

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Note: Shortlisted candidates will receive an email/call for the further interview process.