S&P Global
Vice President, Data Science
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Vice President, Data Science
Senior Data Scientist Leader (Enterprise Solutions Technology)
About the Role
Grade Level (Internal Use): 15
The Team
The Enterprise Solutions Technology team delivers next-generation, high-scale technology platforms through:
- Resilient architecture
- Data excellence
- Engineering innovation
The team’s mission is to enhance digital presence and customer engagement across key domains, including:
- Lending
- Corporate Actions
- Tax
- Regulatory & Compliance
- Regulatory Reporting
- Public & Private Markets portfolio monitoring
Role Summary
We are seeking a Data Scientist Leader to:
- Lead the design, development, and operation of high-rigor analytical and machine-learning systems across a regulated financial-services environment.
- Define the AI/ML roadmap for Enterprise Solutions while building:
- Predictive models for anomaly detection, variance analysis, drift detection, market signals, forecasting, and fraud prediction.
- Production-ready models comparable in rigor to fraud, risk, and surveillance systems.
You will bridge strategy and hands-on execution, ensuring analytical models are correct, explainable, reliable in production, and compliant with operational/regulatory scrutiny.
Key Responsibilities
Modeling & Strategy
- Own the end-to-end Machine Learning lifecycle (concept to production):
- Data exploration & feature engineering
- Model development & back-testing
- Validation & deployment
- Monitoring & performance tuning
- Define AI/ML defence strategy, ensuring models remain robust against:
- Data drift
- Operational failures
- Regulatory scrutiny
- Balance model complexity, choosing advanced ML or simpler solutions when appropriate.
Production & Incident Management
- Incident response: Intervene when models degrade/fail in production.
- Collaborate with engineering, data platform, and product teams to validate and refine models.
- Implement model versioning, drift detection, retraining strategies, and failure recovery approaches.
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Explainability & Compliance
- Design models with transparency and traceability for regulated environments.
- Use feature attribution, model explainability tools, and semantic logic to ensure compliance.
- Combine statistical, ML, and rule-based systems to achieve accuracy, stability, and interpretability.
Data & Quality Focus
- Prioritise data quality, anomaly detection, and monitoring—metrics must surface real operational issues.
Requirements & Mindset
Technical Expectations
✅ 25+ years of hands-on experience in data science, analytics, or ML in production—especially in:
- Banking, capital markets, or regulated, high-availability industries.
- Deep expertise in:
- Statistics, machine learning, time-series analysis, predictive modeling.
- Handling large, noisy datasets (missing data, outliers, regime changes, evolving schemas).
- Production ML system design (batch vs. real-time inference, model serving, failure modes).
- Practical experience with AI ethics, fairness, and regulatory alignment.
Soft Skills & Collaboration
➡ Collaborative: Work closely with engineers, data scientists, and product/regulatory teams. ➡ Pragmatic: Focus on reliable models—measuring success by production resilience, not just metrics. ➡ Communicative: Explain modelling trade-offs, assumptions, and risks clearly to non-technical stakeholders.
mentorship
⚖ Limited line management, but expected to mentor junior data scientists through reviews, pair programming, and on-call support.
About S&P Global Market Intelligence
At S&P Global Market Intelligence, we deliver: 🔹 Unmatched insights for operational confidence 🔹 Visible perspectives on global markets 🔹 Solutions to enable customers to operate with conviction
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"We foster a workplace that values curiosity, shared purpose, and a commitment to a more sustainable, equitable future."
Corporate Values
| Integrity | Discovery | Partnership |
Benefits
We invest in your career, well-being, and future.
Core Offerings
🏥 Health & Wellness
- Holistic support for mental & physical well-being.
📅 Flexible Downtime
- Competitive leave policies to sustain long-term energy.
📚 Continuous Learning
- Access to training programs, certifications, and career development tools.
💰 Financial Wellness
- Competitive pay, retirement planning support, matched student loan contributions.
- Financial wellness programs for retirement/wealth building.
👨👩👧👦 Family-Friendly Perks
- Best-in-class benefits for partners and dependents.
💎 More Than Basics
- Discounts, referral rewards, well-being stipends.
For country-specific benefits, visit spgbenefits.com
About Our Workplace
- Global, connected environment (35,000+ employees worldwide).
- Culture of discovery & sustainability, empowering critical insights to drive change.
- Equal-opportunity employer, celebrating diverse perspectives.
VArilled Policies
- No hiring scams: S&P Global never requests payments (fees, interview costs, or equipment). Secure a real offer before sharing personal data or attending interviews!
- Accommodation support: For disability-related application needs, email EEO.Compliance@spglobal.com.
US Candidates Only
🚨 Know Your Rights: Workplace discrimination is illegal per EEO standards.
Job ID: 325514 Location: London, United Kingdom Grade Reference: 15 (EEO-2 Officer/Manager) – IFTECH102 (Senior Management Group), Strategic Workforce Priority – Ratings.
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