Senior Data Scientist

About the Role

Senior Data Scientist – Grade Level 10 – S&P Global Corporate.

Locations:
Princeton, NJ;
New York, NY;
Charlottesville, VA;
Toronto, ON;
Calgary, AB;
Mexico City, MX;
London, UK (hybrid – 2 days onsite per week). Work with the Collection Platforms & AI team to develop machine‑learning powered products and capabilities for natural language understanding, data extraction, and information retrieval.

• Develop and deploy large‑scale ML and Generative AI (GenAI) powered products and pipelines.
• Own all project lifecycle stages: exploration, prototyping, development, deployment, monitoring, and scaling of models through the full Software Development Life Cycle.
• Conduct 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.

• Strong grasp of statistics, probability, and the mathematics underlying modern AI, including linear programming and optimization.
• 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 (Num Py, Pandas, Spa Cy, scikit‑learn, PyTorch/TensorFlow2, Hugging Face Transformers).
• Knowledge of ML & Deep Learning architectures for NLP (transformers), GNNs, and multimodal systems.
• Solid understanding of database structures and SQL.
• Competence in orchestration and deployment tools:
  Airflow, Redis, Flask/Django/FastAPI, SQL, R‑Shiny/Dash/Streamlit.
• Ability to conduct independent research, synthesize current AI/ML research, and apply new methods in production.
• Experience with end‑to‑end GenAI or advanced NLP projects such as NER, table extraction, OCR integration, or GNN solutions.
• Public contributions or demos on Git Hub, Kaggle, Stack Overflow, technical blogs, or publications are a plus.

• Advanced technical degree (Master’s or higher) in STEM.
• 5+ years of professional experience in AI or building statistical/mathematical quantitative models in production.
• Experience product ionizing AI applications and working with multi‑modal LLMs that integrate vision and text for autonomous agents.

US candidates must have an indefinite right to work within the USA.

Canada candidates must have an indefinite right to work within Canada.

Anticipated base salary range: $90,000–$160,000, based on location, experience, and qualifications. Eligibility for an annual incentive plan and additional S&P Global benefits as described in the company's benefits portal.

Anticipated base salary range: 95,000

CAD–140,000

CAD, based on performance, geographic location, and qualifications. Compensation commensurate with Ontario regulations effective January1,2026, and inclusive of company benefits.

S&P Global is an equal‑opportunity employer; all qualified candidates receive consideration 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 protected status. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please email  For US candidates, workplace discrimination is illegal.