S&P Global Hyderabad Data Analyst Posts | Bachelor’s Degree/Master’s Degree | Apply Now
S&P Global is an American publicly traded corporation, with a focus on its business in the areas of financial information and analytics.
In the latest job announcement, S&P Global announces job vacancies for Data Analyst posts, with work location in Hyderabad.
Under S&P Global Hyderabad Data Analyst 2024 Jobs, candidates having required skills in Python, R, AWS, and Azure can apply.
The selected candidate will be recruited with a permanent and full-time job.
An Interested and qualified candidate has to apply through online mode.
Job Designation: Data Analyst.
Job Code: 306663.
Education Qualification: Bachelor’s Degree/Master’s Degree.
Experience Level: 2 to 5 years.
Job Location: Hyderabad.
Apply Mode: Online.
Key Responsibilities:
- Develop, implement, and maintain LLM-based models to support internal audit processes.
- Analyze large datasets to identify trends, anomalies, and insights that inform audit strategies.
- Collaborate with audit teams to define requirements and translate business needs into technical solutions.
- Conduct research on emerging LLM technologies and methodologies to continuously improve audit practices.
- Design and execute experiments to evaluate model performance and effectiveness.
- Prepare comprehensive documentation and reports on model development, findings, and recommendations.
- Present insights and findings to stakeholders, translating complex technical concepts into actionable business strategies.
- Ensure compliance with data governance and privacy policies while handling sensitive information.
Qualifications:
- Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related field.
- 2-5 years of proven experience in transforming business problem into developing and deploying LLM-based models.
- Strong programming skills in Python or R, with proficiency in libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience with data manipulation and analysis using SQL and other data processing tools.
- Familiarity with audit processes and internal controls is a plus.
- Excellent problem-solving skills and the ability to work independently as well as in a team environment.
- Strong communication skills, with the ability to convey technical information to non-technical stakeholders.
Preferred Skills:
- Knowledge of machine learning algorithms and statistical analysis.
- Experience with cloud-based platforms (e.g., AWS, Azure) for model deployment.
- Understanding of ethical AI practices and bias mitigation in model development.
How to apply:
Interested and qualified job applicants have to apply through online mode, by initially registering with S&P Global career portal and login in to apply.
Apply online:
https://careers.spglobal.com/jobs/306663?lang=en-us
For more information about S&P Global vacancies, visit the S&P Global Recruitment page.
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