Senior Data Science Specialist

Apply advanced statistics and machine learning to enterprise data in a hybrid role requiring three onsite days weekly. Develop predictive models and AI-driven insights for priority business opportunities.This senior data science role combines exploratory analysis, predictive modelling, and statistical validation. You will translate business problems into analytical approaches, assess data readiness, and identify valuable AI opportunities. Collaboration spans Data Engineers, Data Architects, Product Managers, and technology teams.Key Responsibilities:
Design advanced analytics and machine learning solutions for priority use casesConduct exploratory data analysis to identify patterns and relationshipsTranslate business problems into hypotheses and modelling approachesValidate models and communicate assumptions, limitations, and resultsApply Responsible AI, privacy, governance, and model risk considerationsRequirements:
Significant experience in data science or advanced analyticsStrong proficiency in Python, SQL, and machine learning techniquesExpertise in statistics, probability, predictive modelling, and inferenceExperience validating models with real-world enterprise dataDegree in a quantitative field or equivalent experienceUse Python, SQL, statistics, and machine learning to create validated solutions and actionable insights from enterprise data.
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