At a Glance
- Tasks: Develop and deploy cutting-edge ML and GenAI products in a dynamic team environment.
- Company: Join S&P Global, a leader in essential intelligence and innovation.
- Benefits: Enjoy competitive pay, flexible downtime, and health coverage tailored for you.
- Other info: Collaborative culture focused on integrity, discovery, and partnership.
- Why this job: Make a real impact with AI while working on exciting projects globally.
- Qualifications: 5+ years in AI, strong Python skills, and experience with ML models required.
The predicted salary is between 63000 - 77000 £ per year.
About the Role:
The Role: Senior Data Scientist
Location: 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 environment. You will work in a global team and be 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.
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. 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.
- Follow coding standards, perform code reviews, and optimize data science workflows.
- Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
- Linear programming and optimization.
- Hands-on experience with any 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., 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.
- 5+ years in professional work within AI space or building statistical/mathematical quantitative models in production.
- Experience in productionizing AI applications.
Compensation/Benefits Information:
S&P Global states that the anticipated range of compensation for this position is 95,000 CAD to 140,000 CAD. Final compensation for this role will be based on the individual’s performance, geographic location, as well as experience level, skill set, training, licenses, and certifications.
Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
Integrity, Discovery, 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.
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
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.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent.
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.
Data Science Data Science Senior Data Scientist (Remote) in London employer: S&P Global
S&P Global is an excellent employer, offering a vibrant work culture that prioritises innovation and client success in the heart of Greater London. Employees benefit from generous perks, professional development opportunities, and a collaborative environment that fosters growth and leadership. Joining S&P Global means being part of a forward-thinking team dedicated to delivering exceptional solutions in the financial sector.
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We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote) in London
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