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Senior Data ScientistS&P Global • London, England, United Kingdom
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Senior Data Scientist

S&P Global
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
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Über

About the Role Senior Data Scientist
Grade Level (for internal use): 10
S & P Global Corporate Location Princeton, NJ or New York, NY, 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 focuses on building machine‑learning powered products and capabilities to power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S & P Global and its clients. Team members spearhead the development of production‑ready AI products and pipelines while promoting a highly engaging, globally distributed work environment. The role encourages thoughtful risk‑taking and self‑initiative.
The Impact
The Collection Platforms & AI team has delivered breakthrough products and significant business value over the last 5 years.
In this role you will develop next‑generation products while enhancing existing ones to solve high‑impact business problems.
What’s in it for you
You will work on a dynamic team solving diverse problems using applied machine learning and web development from inception to production.
Be part of a global company and build solutions at enterprise scale.
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: develop, deploy, monitor, and scale models through the full Software Development Life Cycle, 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, optimize data science workflows, and evaluate, interpret, and communicate results to executive stakeholders.
Technical Requirements
Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
Linear programming and optimization.
Multi‑dimensional optimizers such as Adam, SGD, Gradient Descent, etc.
Ability to adjust weights for full or 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/TF2, Hugging Face Transformers).
Understanding of ML & Deep Learning models, including architectures for NLP (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 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 of professional work within the AI space or building statistical/mathematical quantitative models in production.
Preferred Qualifications
Advanced technical degree (Master's or above) in any of the STEM fields.
Experience in productionizing AI applications.
Experience with multimodal LLMs and integrating vision and text for autonomous agents.
Right to work requirements for US based candidates This role is open only for candidates with indefinite right to work within the United States.
Compensation / Benefits (US Applicants Only) The anticipated base salary range for this position is $90,000 – $160,000. Final base salary 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. Additional benefits information is available at https://spgbenefits.com/benefit-summaries/us
Right to work requirements for Canada based candidates This role is open to candidates with indefinite right to work within Canada.
Compensation / Benefits (Canada Applicants Only) Anticipated range of compensation is 95,000 CAD to 140,000 CAD. Final compensation will be based on performance, geographic location, experience level, skill set, training, licenses, and certifications. In accordance with Ontario regulations effective January 1, 2026, this posting provides information on expected compensation. S & P Global will not be utilizing artificial intelligence in our hiring process. We are committed to transparency and will inform all interviewed candidates of hiring decisions within 45 days of their interview. This posting is for an existing vacancy.
Equal Opportunity Employer 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.
Other Information Job ID: 329047
Posted On: 2026-06-10
Location: Charlottesville, Virginia, United States
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  • London, England, United Kingdom

Sprachkenntnisse

  • English
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