S&P Global Multiple Job Openings 2025 | Apply Now

S&P Global Multiple Job Openings 2025 :-

S&P Global is hiring candidates for the Multiple Roles for the Ahmedabad & Hyderabad Locations. The complete details about S&P Global Multiple Job Openings 2025 are as follows.

Company Hiring:-S&P Global
Required Education:Bachelor’s Degree
Job Roles:1) Data Associate
2) Data Scientist – ML Engineer
Job Category:Data Management
Information Technology
Job Role 1 : Data Associate

Location: Ahmedabad, Gujarat, India

Required Qualifications & Skills:

Minimum and Preferred Experience/Skills

  • 5+ years of experience in a data quality, data analysis, or data management role.
  • Good understanding of Financial and Market data
  • General understanding of data and data flows
  • Ability to work effectively within a large, global team.
  • Ability to deliver & prioritize tasks on time.
  • Effective written and verbal communication skills
  • Understanding of Data cataloguing.
  • Good understanding of AI technologies and their potential applications in data management
  • Intermediate knowledge of Excel, SQL and any visualization tool.
  • Problem solving capabilities
  • Willingness to ask questions and escalate where concerns are not resolved
  • Ability to hold others accountable for delivery of key actions

Key Roles & Responsibilities:

  • Engages with stakeholders to define requirements and usage needs for the measurement of data quality for a specific region or part of a business.
  • Undertakes ownership for the on-going delivery of data quality measurement activities with a concentrated focus on a specific region or part of a business
  • On identification of data quality issues, performs analysis and escalates for next level review to remediate the issue and achieve high quality data.
  • Performs testing of defined use cases on new technology and deliver results on data tasks performed; identifies sources or errors.
  • Performs basic root cause analysis on smaller self-contained data analysis tasks that may be related to assigned projects or other unfamiliar projects.
  • Delivers testing of defined use cases as part of data audits on new data vendors.
  • Delivers data quality processes to assure S&P Ratings compliance against regulatory requirements.
  • Performs data queries to identify and drive correction of data inconsistencies.
Apply Link :-Click Here To Apply
Job Role 2 : Data Scientist – ML Engineer

Locations: 

  • Hyderabad, Telangana, India
  • Virtual, Gurgaon, India

Required Qualifications & Skills:

Basic Qualifications:  

  • Bachelor’s degree in Engineering, Mathematics, Economics, Computer Science, or related disciplines 
  • Overall 5+ years of experience with at least 3 years of work on end-to-end analytical modelling projects: problem scoping, data gathering, modelling, insights, visualizations, monitoring and maintenance 
  • Demonstrated ability to build constructive working relationships with various technology partners, stakeholders and other internal/ external users 
  • Strong experience with data automation and Machine Learning 
  • Strong written and verbal communication skills in English
  • Experience using SQL, complex Excel, Pyspark and Python

Preferred Requirements:  

  • Master’s degree, preferably in economics, engineering, or similar field. 
  • Good experience working as an analyst in the commodity space is preferred 
  • Experience building high quality solutions and leading processes in an Agile development environment 
  • Experience building data science solutions in Databricks.

Responsibilities:

  • Create commodity models, using predictive modelling and other statistical and econometric techniques. 
  • Understand, implement, manage and maintain analytical solutions & techniques independently. 
  • Collaborate and coordinate with data, content and product management teams and provide analytical assistance for various commodity datasets 
  • Execute with discipline and deliver appropriate documentation 
  • Work closely with various stakeholders to collect, clean, model and visualize datasets. 
  • Extract hidden value insights and enrich accuracy of the datasets. 
  • Leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. 
Apply Link :-Click Here To Apply
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