S&P Global Apprentice Software Development Engineering Hiring 2026 | Gurgaon

S&P Global Apprentice Software Development Engineering Hiring 2026

Introduction

S&P Global is hiring for an Apprentice, Software Development/Engineering position in Gurgaon, Haryana. The opportunity is part of the S&P Global Market Intelligence apprenticeship program and is suitable for candidates with a background in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.

The role provides hands-on exposure to Python, data science, machine learning, Generative AI, Large Language Models, Prompt Engineering, Retrieval-Augmented Generation (RAG), Docker, Git, and CI/CD. Apprentices will work alongside data scientists, machine learning engineers, data engineers, and product teams while learning how data-driven solutions are developed and deployed.

Quick Job Snapshot

About the Role

The S&P Global Market Intelligence apprenticeship program is designed to give early-career professionals practical experience while working with experienced teams. In this role, the apprentice will contribute to data-driven solutions while learning software development, machine learning, data analysis, and modern AI technologies.

The position involves working with Data Scientists, Machine Learning Engineers, Data Engineers, and product teams. You may assist with exploring datasets, developing machine learning models, experimenting with Generative AI, and supporting the deployment of statistical and predictive models.

Candidates who want to strengthen their technical profile can explore the highest paying skills in 2026 for additional career-planning ideas.

Key Responsibilities

• Write, test, and maintain Python code using libraries such as Pandas, NumPy, and Scikit-Learn.
• Follow software development and coding best practices.
• Apply statistics and probability to exploratory data analysis and data validation.
• Assist with developing, training, and evaluating machine learning models.
• Work on predictive analytics and classification problems under guidance.
• Explore Generative AI applications involving LLMs, prompt engineering, and RAG.
• Use Git for source code version control.
• Work with Docker for model or application containerization.
• Assist with CI/CD-based machine learning workflows.
• Research emerging technologies and trends in data science and AI.
• Participate in Agile meetings and collaborate with cross-functional teams.
• Document technical approaches, methodologies, and project work.

Qualification Requirements

• Currently pursuing or recently graduated with a degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
• Strong proficiency in Python.
• Solid foundation in general statistics.
• Basic understanding of machine learning algorithms.
• Familiarity with Git.
• Understanding of Docker and containerization concepts.
• Basic understanding of CI/CD concepts.
• Strong critical thinking and problem-solving abilities.
• Good communication skills and the ability to explain technical concepts clearly.

Skills to Highlight in Your Resume

• Python
• Pandas and NumPy
• Scikit-Learn
• Statistics and Probability
• Machine Learning
• Exploratory Data Analysis
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Git
• Docker
• CI/CD
• Data Science
• Agile Methodologies

Applicants interested in Generative AI interview preparation can also review the Top 25 Gen AI Interview Questions and Answers for Freshers.

Candidates exploring data-focused careers can also check the Top 25 Data Science Interview Questions for Freshers before attending technical interviews.

Why Consider This Opportunity?

This apprenticeship can be a strong starting point for candidates who want practical exposure to data science, machine learning, software engineering, and Generative AI. Instead of focusing only on academic learning, apprentices can work alongside experienced professionals and contribute to real-world data-driven solutions.

The role also provides exposure to modern engineering practices such as Git, Docker, CI/CD, Agile collaboration, and machine learning lifecycle processes. S&P Global highlights mentorship, learning resources, professional development, and opportunities to build industry knowledge through its apprenticeship program.

How to Apply

1. Click the official application button below.
2. Visit the S&P Global Careers website.
3. Search for Job ID 329535.
4. Look for Apprentice, Software Development/Engineering in Gurgaon.
5. Review the complete job requirements and application details.
6. Complete your candidate profile and application.
7. Upload your updated resume.
8. Highlight relevant Python, machine learning, AI, data science, and software projects.
9. Review your information and submit the application.

Frequently Asked Questions (FAQs)

1. Who is eligible for the S&P Global Apprentice role?
Candidates currently pursuing or recently graduated with a degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field can apply.

2. Can freshers apply for this S&P Global apprenticeship?
Yes. The apprenticeship program is designed to support candidates starting their careers, and the qualification section accepts currently pursuing or recently graduated candidates.

3. What skills are important for this role?
Python, statistics, machine learning fundamentals, Git, Docker, CI/CD, Generative AI, prompt engineering, and RAG are important skills. Knowledge of advanced AI agents, MCP, deep learning, or model fine-tuning can provide an additional advantage.

4. What is the work mode?
The position is based in Gurgaon, Haryana. A specific remote, hybrid, or onsite work arrangement is not specified by the company in the supplied job description.

5. What salary or stipend does S&P Global offer?
The supplied job description does not mention a specific salary or stipend amount. Salary/Stipend is as per Company Standards.

Conclusion

The S&P Global Apprentice Software Development/Engineering opportunity is a strong option for early-career candidates interested in Python, machine learning, data science, Generative AI, and modern software engineering practices. If your academic background and technical skills match the requirements, consider applying through the official S&P Global Careers portal.