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S&P Global Recruitment Drive; Hiring Junior Data Scientist – Apply Now


S&P Global, a highly motivated team that provides metrics and insights to internal business partners and senior leadership. S&P Global expertise lies in making siloed data interoperable, enabling seamless access to information across departments. By delivering deeper-level analytics, we empower decision-makers with the insights needed to drive strategic initiatives. Candidates are advised to apply soon, before the link expires

Name of the Organization: S&P Global

Requisition ID: 305353

Positions: Junior Data Scientist

Location: Gurgaon

Salary: As per company Norms

Required Skills & Qualifications:

  • Bachelor's degree in a relevant field (e.g., Computer Science, Data Science).
  • Strong knowledge of data science concepts and techniques.
  • Experience with Data Science models and methods (e.g., LLM’s, SARIMAX, Random Forests, etc.)
  • Proficiency in programming languages such as Python or R.
  • Excellent problem-solving and reasoning skills.
  • Ability to work collaboratively in a team environment.
  • Prefer experience with data visualization tools (e.g., Tableau, Power BI).

Job Description:

S&P Global team plays a crucial role in transforming siloed data into actionable insights. By providing comprehensive analytics, they enable informed decision-making that drives strategic growth and innovation across the organization. Ultimately, their contributions foster a data-driven culture that enhances collaboration and improves overall business performance.

Responsibilities:

  • Collaborate with senior data scientists to support data science projects.
  • Develop and implement complex visualizations to communicate insights effectively.
  • Assist in building and maintaining data management systems.
  • Conduct data analysis and provide recommendations based on findings.
  • Stay up-to-date with the latest data science techniques and tools.
  • Gain hands-on experience with cutting-edge data science models that elevate your analytical skills.
  • Engage with specialists across diverse fields, including data science, visualization, and architecture.
  • Partner closely with senior leadership to identify and define initiatives that promote organizational growth.

 

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