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The organisation builds intelligent digital infrastructure that enables greater financial access, improved risk assessment, and smarter market participation for underserved segments. Data sits at the heart of its products, powering decision engines used across lending, risk, fraud, and customer lifecycle management.This role reports into the executive leadership of the decisioning function and plays a critical part in shaping the enterprise-wide AI strategy.As the Head of Data Science, you will define and execute the end-to-end data science strategy from model research and experimentation through to scalable deployment in live production environments.You will lead a multi-disciplinary team of data scientists and ML engineers while partnering closely with Product, Engineering, Risk, and Compliance to ensure that solutions are commercially effective, technically robust, and aligned with regulatory expectations.This is both a strategic and hands-on leadership position within a high-growth, innovation-led environment.Key Responsibilities:Define and execute the data science vision, strategy, and roadmapBuild, lead, and mentor a high-performing team of data scientists and ML engineersOversee the design, development, and deployment of advanced ML models across risk, fraud, forecasting, and segmentationEnsure production-grade model implementation, monitoring, and optimisationPartner closely with Product and Engineering to embed models into business systemsCollaborate with Risk and Compliance teams to ensure regulatory alignment, fairness, and explainabilityEstablish best practices in data governance, feature engineering, experimentation, and MLOpsDefine performance metrics to measure the business impact of data initiativesChampion a culture of innovation, experimentation, and continuous improvementJob Experience and Skills Required:Experience:10+ years experience in data science and machine learningMinimum 3 years in a senior leadership or team management roleProven experience within regulated financial services (e.g., credit, lending, fraud, and risk)Demonstrated success delivering and deploying ML models at scaleExperience working in high-growth or scaling technology environments advantageousEducation:Masters or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field (preferred)Bachelors degree in a quantitative discipline requiredTechnical Skills:Strong programming capability in Python (R or Scala advantageous)Deep knowledge of supervised and unsupervised learning, statistical modelling, and deep learningExperience with modern ML frameworks and https://www.executiveplacements.com/Jobs/H/Head-of-Data-Science-1269097-Job-Search-03-05-2026-22-15-15-PM.asp?sid=gumtree

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Executive Placements

Bo-Kaap

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The organisation builds intelligent digital infrastructure that enables greater financial access, improved risk assessment, and smarter market participation for underserved segments. Data sits at the heart of its products, powering decision engines used across lending, risk, fraud, and customer lifecycle management.This role reports into the executive leadership of the decisioning function and plays a critical part in shaping the enterprise-wide AI strategy.As the Head of Data Science, you will define and execute the end-to-end data science strategy from model research and experimentation through to scalable deployment in live production environments.You will lead a multi-disciplinary team of data scientists and ML engineers while partnering closely with Product, Engineering, Risk, and Compliance to ensure that solutions are commercially effective, technically robust, and aligned with regulatory expectations.This is both a strategic and hands-on leadership position within a high-growth, innovation-led environment.Key Responsibilities:Define and execute the data science vision, strategy, and roadmapBuild, lead, and mentor a high-performing team of data scientists and ML engineersOversee the design, development, and deployment of advanced ML models across risk, fraud, forecasting, and segmentationEnsure production-grade model implementation, monitoring, and optimisationPartner closely with Product and Engineering to embed models into business systemsCollaborate with Risk and Compliance teams to ensure regulatory alignment, fairness, and explainabilityEstablish best practices in data governance, feature engineering, experimentation, and MLOpsDefine performance metrics to measure the business impact of data initiativesChampion a culture of innovation, experimentation, and continuous improvementJob Experience and Skills Required:Experience:10+ years experience in data science and machine learningMinimum 3 years in a senior leadership or team management roleProven experience within regulated financial services (e.g., credit, lending, fraud, and risk)Demonstrated success delivering and deploying ML models at scaleExperience working in high-growth or scaling technology environments advantageousEducation:Masters or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field (preferred)Bachelors degree in a quantitative discipline requiredTechnical Skills:Strong programming capability in Python (R or Scala advantageous)Deep knowledge of supervised and unsupervised learning, statistical modelling, and deep learningExperience with modern ML frameworks and https://www.executiveplacements.com/Jobs/H/Head-of-Data-Science-1267821-Job-Search-03-03-2026-00-00-00-AM.asp?sid=gumtree

Executive Placements

Bo-Kaap

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"defy parts" in Western Cape

defy parts in Western Cape (78 results)

Results for defy parts in "defy parts" in Western Cape in Western Cape