Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
About the role
- Lead Data Scientist developing AI-powered capabilities at S&P Global. Architecting ML products and mentoring a skilled team in an engaging global environment.
Responsibilities
- 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.
Job title
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