Lead Data Scientist

S&P Global; New York (NY); A distancia; USD 190.000 - 206.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Descripción de la vacante

Standard & Poor’s Financial Services LLC seeks a Lead Data Scientist to architect and drive ML, NLP, and LLM initiatives for both batch and streaming pipelines.

You will collaborate across data science, MLOps, and engineering to ensure robust evaluations, governance, and production readiness on cloud platforms.

Formación

• Master’s degree in Computer Science, Data Science, or a related IT field required.
• 3 years of experience in Python, ML frameworks, PyTorch, Hugging Face Transformers, and LangChain.
• Experience with LLM architectures and NLP solutions for scalable information retrieval.

Responsabilidades

• Lead the design and development of ML, NLP, GAIs and LLMs for batch and streaming pipelines.
• Architect data ingestion, preprocessing, search, RAG, fine-tuning and prompt engineering.
• Collaborate with data science, MLOps and tech teams to meet requirements and governance.
• Deploy models to production with scalable, reliable cloud architectures (AWS/GCP/Azure).

Educación

Master’s degree in Computer Science, Data Science, or related IT field

Herramientas

Python

PyTorch

Hugging Face Transformers

LangChain

Descripción del empleo

About the Role:

Grade Level (for internal use):

12

Company Name: Standard & Poor’s Financial Services LLC

Job Title: Lead Data Scientist

Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted from anywhere within the U.S.)

Job Duties:

Standard & Poor’s Financial Services LLC seeks a Lead Data Scientist responsible for leading the design and development of custom machine learning, Generative AI (GAI), Natural Language Processing (NLP), and Large Language Models (LLMs) for both batch and streaming AI/ML pipelines. Architect solutions covering data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering. Utilize industry-standard tools and frameworks including Python, PyTorch, and Hugging Face Transformers for model development & finetuning. Work closely with cross functional teams including data science, MLOps, and technology groups to align solutions with technical and business requirements. Collaborate with data science teams to design and implement robust evaluation frameworks that measure model performance, accuracy, consistency, and reliability during both development and UAT stages. Monitor and apply model optimizations to enhance system efficiency and ensure continuous improvement. Partner with engineering teams to deploy models into production environments, ensuring high reliability, scalability, and performance of deployed systems. Deploy and manage AI applications on cloud platforms, such as AWS, Google Cloud, or Microsoft Azure. Develop and maintain comprehensive documentation of all ML modeling processes and procedures, ensuring reproducibility and effective knowledge sharing across teams. Ensure all models are developed in adherence to established standards, governance frameworks, and best practices as defined by senior Data Science and MLOps leadership. Lead efforts to troubleshoot complex issues in ML model development and data pipelines, devising innovative solutions to enhance system robustness and performance.

Telecommuting permitted from anywhere within the U.S.

Job Requirements:

Master’s degree in Computer Science, Data Science, or a related IT field, plus 3 years of experience in the job offered or related occupation. 3 years of experience must include: Python programming, machine learning frameworks and statistical libraries, including PyTorch, Hugging Face Transformers, and LangChain. Large Language Model (LLM) architectures including transformer-based models, such as GPT, BERT, or T5. Training, fine-tuning, and adapting large-scale LLMs for domain-specific applications. Developing Natural Language Processing (NLP) solutions using traditional and transformer-based architectures. Text generation, summarization, classification, question answering, and entity extraction as part of implementing scalable information retrieval systems. Traditional keyword-based search and semantic search approaches using vector embeddings and approximate nearest neighbor techniques. Open Source and research contributions related to machine learning or Artificial Intelligence. Scoping, formulating, and executing complex machine learning projects, including stakeholder management.

The anticipated base salary range for this position is $189,532 to $206,350. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. Standard & Poor’s Financial Services LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see: https://spgbenefits.com/benefit-summaries/us.

About S&P Global Ratings

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

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

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

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. Join us and help create the critical insights that truly make a difference.

Our Values:

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. 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: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

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: [e-mail] and your request will be forwarded to the appropriate person.

US Candidates Only: Know Your Rights: Workplace discrimination is illegal (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Job ID: 329786

Posted On: 2026-10-30

Location: New York, New York, United States