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S&P Global

Delivers credit ratings, market data, indices

Vice President - Data Science

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • At least 25 years of experience in analytics, data science, and machine learning, with a track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments.
  • Deep expertise in applied data science and machine learning, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle.
  • Strong hands-on technical skills, including the ability to work directly with data, code, machine-learning frameworks, and complex datasets while partnering effectively with software engineering and platform teams.
  • Experience building scalable, reliable, and explainable artificial-intelligence and machine-learning solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes.

Responsibilities

  • Define and lead the artificial-intelligence, machine-learning, and applied data-science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.
  • Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready.
  • Own the full model lifecycle, from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, and tuning to incident response when models degrade or fail in production.
  • Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready machine-learning systems that deliver measurable operational and business outcomes.
  • Act as a hands-on technical authority and multiplier by reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority.

Desired Qualifications

  • A pragmatic and outcome-oriented mindset focused on delivering models that perform reliably in production and create tangible business value.
  • Ability to clearly explain modelling decisions, assumptions, risks, and limitations to technical and non-technical audiences.
  • Ability to drive alignment and technical excellence across cross-functional teams without relying on formal authority.
  • Ability to coach and mentor data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example.

About the Company

S&P Global

Delivers credit ratings, market data, indices

S&P Global provides financial information and analytics for investors, corporations, and governments, including credit ratings, market data, and indices. It compiles large financial data, conducts research, and offers analytics, ratings, and benchmarks accessed via subscriptions, licenses, or transaction-based services. The company differentiates itself with an integrated suite that covers ratings, data, analytics, indices, and ESG solutions across global markets, backed by well-known brands. Its goal is to help clients make informed decisions, manage risk, and drive growth while prioritizing corporate responsibility.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1917

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