Senior Data Scientist - NLP, LLM and GenAI at S&P Global

Gdansk, Pomeranian Voivodeship, Poland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

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
Ability to work in a team
Able to report progress and summarize issues to a less technical audience
Curious and open-minded attitude to new approaches
Desirable Experiences
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

Responsibilities

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

Skills

Key technologies and capabilities for this role

NLPLLMGenAIPrompt EngineeringModel Fine-TuningSFTRLHFDPORAGModel EvaluationModel DeploymentQuantizationLatency OptimizationDocument EmbeddingsDeep LearningMachine Learning

Questions & Answers

Common questions about this position

What is the salary for this Senior Data Scientist role?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What are the essential skills required for this role?

Essential skills include a degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or related field; good understanding of machine learning and deep learning methods; 1+ years experience in Advanced Analytics/Data Science/Machine Learning; 1+ years hands-on NLP model development with transformers; experience with Python, PyTorch, Hugging Face; mastery of Python for robust code; and knowledge of developing or tuning LLMs.

What is the team like at S&P Global for this role?

The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions using advanced NLP and Generative AI models.

What makes a strong candidate for this Senior Data Scientist position?

Strong candidates have essential skills in NLP, LLMs, Python/PyTorch, plus desirable experience in information retrieval systems, open source contributions, Kaggle competitions, ML publications, and personal skills like teamwork, reporting to non-technical audiences, and a curious open-minded attitude.

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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