Senior Advanced Analytics Scientist

Apply advanced analytics and machine learning to enterprise data, developing predictive models and AI-driven insights for priority business opportunities.This senior specialist or scientist translates business problems into analytical approaches and measurable success criteria. The work spans exploratory data analysis, statistical techniques, predictive modelling, and model validation. It also supports data maturity assessments, business-value analysis, and identifying high-value AI opportunities.Key Responsibilities:
Design advanced analytics, predictive models, and machine learning solutionsConduct exploratory analysis to identify patterns, trends, and relationshipsTranslate business problems into hypotheses and modelling methodologiesAssess data quality, availability, and readiness for analyticsValidate performance and communicate assumptions, limitations, and resultsRequirements:
Experience applying statistical and machine learning techniquesAbility to define analytical methods and success measuresUnderstanding of enterprise data and analytics capabilitiesAbility to communicate findings to technical and executive audiencesKnowledge of responsible AI, privacy, governance, and model riskShape predictive models, analytical insights, and responsible AI practices while connecting enterprise data with measurable business outcomes.
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