S&P Global

Lead Data Scientist

S&P Global

full-time

Posted on:

Location Type: Hybrid

Location: Hyderabad • India

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Job Level

Senior

Tech Stack

DjangoFlaskNumpyPandasPythonPyTorchRedisScikit-LearnSQL

About the role

  • Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
  • Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
  • Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities
  • Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
  • Evaluation, interpretation, and communication of results to executive stakeholders
  • Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
  • Establish and enforce coding standards, perform code reviews, and optimize data science workflows
  • Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
  • Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
  • Manage stakeholders across functions to ensure alignment and timely delivery

Requirements

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s)
  • 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
  • Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
  • Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
  • Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
  • Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
  • Strong grasp of statistics, probability, and the mathematics underpinning modern AI
  • Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
  • Openness to evaluate and adopt emerging technologies and programming languages as needed
Benefits
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learninggenerative AInatural language processingdata analysismodel buildingprompt engineeringfine-tuningvector retrievalstatisticsdeep learning
Soft skills
leadershipcommunicationmentoringstakeholder managementcollaborationproblem-solvinginnovationcontinuous learningalignmentevaluation
Certifications
Master’s degreePh.D.Bachelor’s degree