Senior Data Scientist

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The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role offers hands-on ML/NLP/Gen AI/LLM work to advance in your career and apply technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas.

• Design solutions utilizing natural language processing (NLP) models, including chat assistants and retrieval-augmented generation systems.
• Develop Large Language Model (LLM) solutions that incorporate prompt engineering techniques, model fine-tuning, and alignment strategies.
• Evaluate NLP models using both human-supported and synthetic evaluation methods and metrics.
• Deploy NLP models while ensuring low latency, reliability, and scalability.
• Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking.
• Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems.
• Troubleshoot complex issues related to machine learning model development and data pipelines, developing innovative solutions as needed.
• Actively research and identify the latest relevant methods and technologies in the field.

Basic Required Qualifications:

• A degree in Computer Science, Mathematics, Statistics, Engineering or a related field.
• A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations.
• At least 5 years of professional experience in advanced analytics, data science, or machine learning.
• A minimum of 1 year of hands-on experience developing NLP solutions.
• Demonstrated experience with programming languages and frameworks commonly used in machine learning.
• Mastery of Python, with the ability to write robust, high-standard, and testable code.

Additional Preferred Qualifications:

• Over 1 year of experience implementing information retrieval systems.
• Experience contributing to open-source initiatives, research projects, or participation in data science competitions.
• Publications related to machine learning or deep learning.
• Ability to work effectively in a team environment.
• Capability to report progress and summarize issues for a less technical audience.
• A curious and open-minded attitude toward new approaches and methodologies.

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence.

Our Purpose
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. We Transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People
We’re more than 35,000 strong worldwide—driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From measuring sustainability to analyzing energy transition and building workflow solutions, we empower teams to apply insight and make an impact. We’re committed to a more equitable future and to helping customers find new, sustainable ways of doing business.

Our Values
Integrity, Discovery, Partnership – We focus on Powering Global Markets with integrity, discovery, and close partnership with customers to achieve shared goals.

We take care of you, so you can take care of business. Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized.
• Continuous Learning: Resources to grow your career and learn new skills.
• Invest in Your Future: Competitive pay, retirement planning, education support including company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: Perks for partners and children, with team-friendly benefits for families.
• Beyond the Basics: Discounts and rewards for everyday life.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

We are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on skills and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring we attract and retain top talent.

S&P Global is an equal opportunity employer and all qualified candidates will 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 status protected by law. If you need an accommodation during the application process due to a disability, please email .

US Candidates Only: The EEO is the Law Poster and Pay Transparency notices apply as required by law.

Job ID: 318915 • Posted On: 2025-08-22 • Location: London, United Kingdom