Senior Data Scientist - NLP, LLM and GenAI

About the Role

Grade Level (for internal use) :

The Team :

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 presents a unique opportunity for hands-on ML / NLP / Gen AI / LLM scientists and engineers to advance to the next step in their career journey and apply their 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.

Responsibilities and Impact :

Design solutions utilizing NLP models including chat assistants and RAG systems.

Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tuning and alignment (SFT, RLHF, DPO)

NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics.

Deploy NLP models ensuring latency, reliability, and scalability.

Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking.

Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems.

Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

Actively research, explore and identify the latest relevant methods and technologies

What We’re Looking For :

Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.

Good understanding of machine learning and deep learning methods and their mathematical foundations

1+ years of professional experience in Advanced Analytics / Data Science / Machine Learning

1+ years hands-on experience developing NLP models, ideally with transformer architectures.

Demonstrated experience with Python, PyTorch, Hugging Face or similar tools.

Mastery of Python and ability to write robust and high standard, testable code

Knowledge of developing or tuning LLMS

Additional Preferred Qualifications :

1+ years of experience with implementing information retrieval systems.

Experience with contributing to Open Source initiatives or in research projects and / or participation in Kaggle competitions.

Publications related to Machine Learning or Deep Learning

About S&P Global Market Intelligence

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

What’s In It For You?

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.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow.

At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

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.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it.

We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.

We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values :

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. 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.

We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits :

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you and your career need to thrive at S&P Global.

Our benefits include :

Health & Wellness : Health care coverage designed for the mind and body.

Flexible Downtime : Generous time off helps keep you energized for your time on.

Continuous Learning : Access a wealth of resources to grow your career and learn valuable new skills.

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.

Family Friendly Perks : It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

Beyond the Basics : From retail discounts to referral incentive awards small perks can make a big difference.

For more information on benefits by country visit :

Diversity, Equity, and Inclusion at S&P Global :

At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation Powering Global Markets.

Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work.

It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.