✦ Luna Orbit — AI & Machine Learning

Global Head, Data Science

at S&P Global

📍 2 Locations Hybrid 💰 $177K – $300K USD / year Posted March 29, 2026
Salary $177K – $300K USD / year
Type Not Specified
Experience lead
Exp. Years 20+ years
Education Not specified
Category AI & Machine Learning

Global Head of Data Science responsible for defining the AI/ML roadmap and delivering high‑rigor analytical and predictive ML systems across a regulated financial services estate.

  • Define AI/ML roadmap
  • Lead model development and production deployment
  • Ensure model monitoring and drift detection
  • Manage regulatory scrutiny and explainability
  • Mentor other data scientists

Leads full ML lifecycle from problem definition, feature engineering, back-testing to deployment; ensures models are explainable, reliable, and compliant with regulatory scrutiny; collaborates with engineering/platform teams.

The ideal candidate is an accomplished data science leader with 20+ years of production ML experience in financial services, capable of shaping the AI/ML roadmap and delivering explainable, production-grade models.

20+ years experience in analyticsdata scienceor ML systems in productionExperience delivering applied data science and machine learning in production within bankingcapital marketsor similarly regulated environmentsDeep grounding in statisticsmachine learningtime-series analysisand predictive modellingHands-on ownership of the full model lifecycleProduction-grade models in regulated environmentsExplainable models suitable for regulated environmentsMentoring data scientists
Experience in regulated industriesMLOps practicesModel monitoring and retraining strategiesAnomaly detection and drift detection in production
machine learningdata sciencestatisticstime-series analysispredictive modellingmodel lifecycle managementback-testingdeploymentmonitoringdrift detectionexplainable AI
Machine LearningStatisticsTime-series analysisPredictive modellingModel lifecycle managementBack-testingDeploymentMonitoringDrift detectionExplainable AIModel serving patternsRegulatory scrutinyFeature engineeringData qualityAnomaly detection
CommunicationMentoringStrategic thinkingLeadershipCollaborationProblem-solving
Industry Financial Services
Job Function Lead data science strategy and delivery of production ML systems in a regulated financial services environment
Role Subtype ML Engineer
Tech Domains SQL / PostgreSQL
data sciencemachine learningai/ml roadmapproduction MLmodel lifecyclefeature engineeringback-testingdeploymentmonitoringdrift detectionexplainable modelsregulated environmentsanomaly detectionvariance analysisforecastingpredictionmodel serving patternsdata qualityAI/MLexplainable AI
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