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S&P Global Market Intelligence
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Data Science/Computer Science Graduate Professional

Data Science/Computer Science Graduate Professional

S&P Global Market Intelligence

5 - 10 years

6 - 10 Lacs

gurugram

Posted:18 hours ago| Platform:

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Skills Required

data science python github data analysis software development prototyping airflow ai numpy machine learning redis sql pandas deep learning r spacy data extraction django nlp pytorch web development flask programming

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Team:

As part of the internship on the Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and encouraged for thoughtful risk-taking and self-initiative.

The Impact:

The Collection Platforms & AI team has already delivered breakthrough products and significant business value over the last 5 years.
In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.

Whats in it for you:

You will be part of a dynamic team that solves diverse problems using applied machine learning and web development with an end-to-end implementation of the solution: inception, prototyping, development, and productionizing.
Be a part of a global company and build solutions at enterprise scale.
Be a part of and grow with a highly skilled, hands-on technical team.
Contribute to solving high-complexity, high-impact problems end-to-end.
Build end-to-end production-ready pipelines from ideation to deployment.

Key Responsibilities

Develop and deploy large-scale ML and GenAI-powered products and pipelines.
Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and GenAI services). Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches. Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics. Follow coding standards, perform code reviews, and optimize data science workflows. Evaluation, interpretation, and communication of results to executive stakeholders.

Technical Requirements:

Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers).
Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems.
Solid understanding of database structures and SQL.
Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
Ability to perform independent research and synthesize current AI/ML research, with a track record of applying new methods in production.
Experience in end-to-end GenAI or advanced NLP projects, such as NER, table extraction, OCR integrations, or GNN solutions.
Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit.
Openness to evaluate and adopt emerging technologies and programming languages as needed.
Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications.

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Data Science/Computer Science Graduate Professional