Sr Data Scientist– NLP, LLM and GenAI

This job is with S&P Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

About the Role :

Grade Level (for internal use) :

10 Sr Data Scientist- NLP, LLM and GenAI

S&P is a leader in risk management solutions leveraging automation and AI / ML. This role is a unique opportunity for hands-on ML scientists and NLP / Gen AI / LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.

Responsibilities :

ML, Gen AI, NLP, LLM Model Development : Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP / LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.

ML, NLP, LLM Model Evaluation : Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.

NLP, LLM, Gen AI Model Deployment : Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.

Internal Collaboration : Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.

Documentation : Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.

Develop Models Based on Standards and Best Practices : Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.

Assist in Problem Solving : Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

Compensation / Benefits Information (US Applicants Only) :

S&P Global states that the anticipated base salary range for this position is $130,000 - $170,000. Final base salary for this role 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 eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please

click here

What We're Looking For :

Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.

1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.

Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming.

1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.

1+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.

Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI)

Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms

Nice to have : Experience with contributing to Github and open source initiatives or in research projects and / or participation in Kaggle competitions.

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.

Recruitment Fraud Alert :

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to

reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment / delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity

here.

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.

US Candidates Only :

The EEO is the Law Poster

http : / / www.dol.gov / ofccp / regs / compliance / posters / pdf / eeopost.pdf

describes discrimination protections under federal law.

Pay Transparency Nondiscrimination Provision -

https : / / www.dol.gov / sites / dolgov / files / ofccp / pdf / pay-transp_%20English_formattedESQA508c.pdf

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