Position Details

Type Not Specified

Experience executive

Exp. Years 20+ years

Education Not specified

Category AI & Machine Learning

About this role

Global Head, Data Science leads the design, development, and operation of high-rigor analytical and ML systems across a regulated financial-services estate. This strategy-led, hands-on leadership role requires building production-grade models, ensuring explainability and regulatory scrutiny, and guiding the AI/ML roadmap for the enterprise.

Key Responsibilities

Lead AI/ML strategy
Build and operate production ML systems
Ensure model explainability and regulatory compliance
Monitor production models and manage drift
Mentor data scientists

Technical Overview

Hands-on leadership in applied data science and ML engineering within banking/regulatory environments; production ML lifecycle ownership; model governance and explainability; collaboration with engineering, data platform, and product teams.

Ideal Candidate

The ideal candidate is a senior data science leader with 20+ years of analytics/ML production experience in regulated financial services, capable of setting AI/ML strategy, building production-grade models, and ensuring governance and regulatory compliance. Strong leadership and cross-functional collaboration are essential.

Must-Have Skills

20+ years working with analyticsdata scienceor ML systems in productionSignificant experience in financial services or other regulatedhigh-availability domainsHands-on with the full model lifecycle: data explorationfeature engineeringmodel developmentback-testingdeploymentmonitoringand ongoing tuningExtensive experience with largecomplex datasetsStrong focus on data qualityanomaly detectionand monitoring

Nice-to-Have Skills

PhD or advanced degree in a quantitative fieldExperience with fraudriskor surveillance systemsExperience with AI platform teams and data platformsExperience with big datasets and data governance

Required Skills

applied data sciencemachine learningtime-series analysispredictive modelingmodel lifecyclefeature engineeringback-testingdeploymentmonitoringdrift detectionexplainable modelsproduction-grade models

Hard Skills

Applied data sciencemachine learningstatisticstime-series analysispredictive modellingmodel lifecyclefeature engineeringback-testingdeploymentmonitoringdrift detectionexplainable modelsproduction-grade models

Soft Skills

LeadershipMentoringStrategic thinkingCommunicationCollaboration

Industry & Role

Industry Banking

Job Function Lead the design, development, and operation of high-rigor AI/ML systems for financial services

Role Subtype Head of Data Science

Tech Domains Python, SQL, TensorFlow, PyTorch, Jupyter Notebooks, Machine Learning, Time-Series Analysis, Statistical Modeling, Data Platform, Amazon Web Services, Google Cloud Platform

Keywords for Your Resume

global head data sciencedata science leaderai/mlproduction-grade modelsanomaly detectiondrift detectionfeature engineeringmodel deploymentmodel monitoringexplainable airegulated financial servicesbankingtime-series analysisstatistical modelingback-testingdata qualitymodel lifecycleproduction ML systemsleadershipstakeholder communication

Deal Breakers

Lack of 20+ years in analytics/ML production, No experience in financial services or regulated environments, Inability to lead at executive level

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