ROLE OVERVIEW:
Uses data engineering analytics statistical methods and/or AI techniques to generate reliable insights or deploy practical data-driven solutions. The exact profile must be confirmed by the client before publication.
KEY RESPONSIBILITIES:
Translate business or technical questions into data analytics or AI deliverables based on the approved role scope.
Acquire clean validate transform and document data from relevant operational and business sources.
Develop Power BI dashboards analytical models ML models governed data pipelines and AI applications using approved tools and methods.
Evaluate outputs for accuracy reliability usefulness bias and performance; document assumptions and limitations.
Collaborate with subject-matter experts software engineers infrastructure and security teams to operationalise solutions where required.
Apply appropriate data governance privacy access-control model monitoring and responsible-AI practices.
Requirements
ESSENTIAL REQUIREMENTS:
Relevant experience in business intelligence data engineering machine learning and practical generative AI.
Proficiency in Python SQL Power BI scikit-learn and PyTorch as appropriate to specialisation according to the specific role.
Ability to validate data quality communicate findings and explain technical results to non-technical stakeholders.
Understanding of data privacy access controls and secure handling of sensitive information.
A portfolio project record or practical evidence demonstrating relevant delivery.
PREFERRED / ADDITIONAL QUALIFICATIONS:
Experience with Power BI PyTorch scikit-learn Azure AI services and data-warehouse technologies.
Relevant degree or equivalent experience in computer science statistics mathematics data science or a related discipline.
Required Skills:
ESSENTIAL REQUIREMENTS: Relevant experience in business intelligence data engineering machine learning and practical generative AI. Proficiency in Python SQL Power BI scikit-learn and PyTorch as appropriate to specialisation according to the specific role. Ability to validate data quality communicate findings and explain technical results to non-technical stakeholders. Understanding of data privacy access controls and secure handling of sensitive information. A portfolio project record or practical evidence demonstrating relevant delivery. PREFERRED / ADDITIONAL QUALIFICATIONS: Experience with Power BI PyTorch scikit-learn Azure AI services and data-warehouse technologies. Relevant degree or equivalent experience in computer science statistics mathematics data science or a related discipline.