Vice President, Data Science

Salary: £56,000 - 96,000 per year

Requirements:

• We are looking for a Data Scientist Leader with strong experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments.
• We need deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints.
• We require hands-on ownership of the full model lifecycle, including data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning.
• We expect extensive experience working with large, complex, and imperfect datasets, including missing data, outliers, regime changes, noisy labels, and evolving schemas.
• We need strong understanding of production ML system design, including batch versus real-time inference, model serving patterns, performance trade-offs, and failure modes.
• We expect experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response when models misbehave.
• We require practical experience designing explainable models suitable for regulated environments, including feature attribution and model transparency techniques.
• We look for experience combining statistical models, ML, semantic models, and rules-based logic where needed to achieve accuracy, stability, and explainability.
• We value a strong focus on data quality, anomaly detection, and monitoring, including metrics that surface real issues and drive sustained improvement.
• We expect 25+ years working with analytics, data science, or ML systems in production, with significant experience in financial services or other regulated, high-availability domains.
• You should be comfortable working directly with data, models, and code, and collaborating closely with software engineers and platform teams.
• We value a pragmatic, outcome-driven mindset with success measured by models that run reliably in production, adapt to changing conditions, and withstand scrutiny.
• You must be a clear communicator who can explain modelling choices, assumptions, and limitations to engineers, product partners, and senior stakeholders.
• We are looking for someone who can act as a technical mentor to other data scientists through review, pairing, and example, with limited people management where appropriate.

Responsibilities:

• We lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate.
• We define the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction.
• We take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management.
• We get involved early in complex or high-risk analytical problems and step in when models degrade or fail in production.
• We determine when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate.
• We work closely with engineering, data platform, and product teams to deliver production-grade models with operational and regulatory rigor.
• We review, pair, and mentor other data scientists, and provide technical guidance through example and limited people management where appropriate.

Technologies:

• AI
• Support
• Machine Learning
• Model Serving

More:

We are S&P Global Market Intelligence, a division of S&P Global, and we deliver accurate, deep, and insightful information through leading data and technology solutions. Our Enterprise Solutions Technology team is focused on next-generation, high-scale platforms built with resilient architecture, data excellence, and engineering innovation, supporting digital experiences across Lending, Corporate Actions, Tax, Regulatory & Compliance, Regulatory Reporting, Public Markets, and Private Markets portfolio monitoring. We offer a full-time role based in London, UK, with a culture grounded in Integrity, Discovery, and Partnership. We care about our people and provide benefits that support health and wellness, generous time off, continuous learning, competitive pay, retirement planning, financial wellness, family-friendly perks, and other valuable employee programs. We are committed to a fair, transparent, merit-based workplace and to fostering a connected, engaged environment where different perspectives help drive innovation and power global markets.

last updated 34 week of 2026