Our Mission

Advancing Essential Intelligence.

About The Role

Grade Level (for internal use):

10

S&P; Global Corporate

The Role: Senior Data Scientist

Location:

Princeton, NJ or New York, N, or Charlottesville, VA. Toronto, ON, Calgary, AB, Mexico City, MX, London, UK (hybrid -2 days onsite per week)

The Team

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 setting. 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.

What’s 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

- Strong grasp of statistics, probability and the mathematics underpinning modern AI.
- Linear programming and optimisation.
- Multi‑dimensional optimisers, such as Adam, SGD, Gradient Descent …
- Ability to adjust weights for full/partial tuning of LLMs.

- Hands‑on experience with any large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine‑tuning/customisation, 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 synthesise 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.
- 5+ years in professional work within AI space or building statistical/mathematical quantitative models in production.

Preferred Qualification

- Advanced technical degree (Master and above) in any of Sciences, Technology, Engineering and Mathematics.
- Experience in productionising AI applications.
- Experience with multi‑modal LLMs and integrating vision and text for autonomous agents.

Right To Work Requirements For US Based Out Candidates

This role is open only for candidates with indefinite right to work within the USA.

Compensation/Benefits Information (US Applicants Only)

S&P; Global states that the anticipated base salary range for this position is $90,000 – $160,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.

In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receive additional S&P; Global benefits. For more information on the benefits we provide to our employees, please click here.

📌 Senior Data Scientist (Toronto)
🏢 Su0026P Global
📍 Toronto