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About the Role

The Collection Platforms & AI team builds ML-powered products and capabilities for natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global and its clients. In this role, you will develop next-generation products and enhance existing ones to solve high-impact business problems, contributing to breakthrough products and significant business value.

Responsibilities

• Develop and deploy large-scale ML and GenAI-powered products and pipelines.
• Own all stages of the data science project lifecycle, including development, deployment, monitoring, and scaling of models through the full Software Development Life Cycle into production.
• Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.
• Partner 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.
• Evaluate, interpret, and communicate results to executive stakeholders.

Requirements

• Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
• Proficiency in linear programming and optimization.
• Experience with multi-dimensional optimizers (e.g., Adam, SGD, Gradient Descent).
• Ability to adjust weights for full/partial tuning of LLMs.
• 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.
• 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 (e.g., NER, table extraction, OCR integrations, 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.
• Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications.
• 5+ years in professional work within AI space or building statistical/mathematical quantitative models in production.
• Advanced technical degree (Master and above) in Sciences, Technology, Engineering, or Mathematics.
• Experience in productionizing AI applications.
• Experience with multi-modal LLMs and integrating vision and text for autonomous agents.
• Indefinite right to work within the USA.
• Indefinite right to work within Canada.

Skills

• Machine Learning
• GenAI
• Natural Language Understanding
• Data Extraction
• Information Retrieval
• Data Sourcing
• Python
• NumPy
• Pandas
• SpaCy
• scikit-learn
• PyTorch
• TensorFlow 2
• Hugging Face Transformers
• NLP
• GNNs
• Multimodal Systems
• SQL
• Prompt Engineering
• LLM Fine-tuning
• Embedding-based Retrieval
• Orchestration Tools
• Deployment Tools
• Airflow
• Redis
• Flask
• Django
• FastAPI
• R-Shiny
• Dash
• Streamlit

Location

• Princeton, NJ
• New York, NY
• Charlottesville, VA
• Toronto, ON
• Calgary, AB
• Mexico City, MX
• London, UK

Work Type

• Hybrid

Experience Level

• Senior
• 5+ years

Education Level

• Master degree or above

Salary/Compensations

• $90,000 – $160,000 (US)
• 95,000 CAD to 140,000 CAD (Canada)

Benefits

• Annual incentive plan (US)
• S&P Global benefits
• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: Best-in class benefits for families.
• Beyond the Basics: Retail discounts and referral incentive awards.

About the Company

• S&P Global provides essential intelligence that empowers organizations to make confident decisions.
• Our mission is advancing essential intelligence.
• We are more than 35,000 strong worldwide, driven by curiosity and a shared belief that essential intelligence can help build a more prosperous future.
• We are changing the way people see things and empowering them to make an impact on the world.
• We are committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.
• Our values are Integrity, Discovery, and Partnership.
• Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead.
• We foster a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions.
• Our hiring practices emphasize fairness, transparency, and merit.
• We value different perspectives and promote a culture of respect and collaboration to drive innovation and power global markets.

Equal Opportunity

• S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
• Only electronic job submissions will be considered for employment.
• If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.