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 solutions
Conduct exploratory analysis to identify patterns, trends, and relationships
Translate business problems into hypotheses and modelling methodologies
Assess data quality, availability,
and readiness for analytics
Validate performance and communicate assumptions, limitations, and results
Requirements
Experience applying statistical and machine learning techniques
Ability to define analytical methods and success measures
Understanding of enterprise data and analytics capabilities
Ability to communicate findings to technical and executive audiences
Knowledge of responsible AI, privacy, governance, and model risk
Shape predictive models, analytical insights, and responsible AI practices while connecting enterprise data with measurable business outcomes.