AI & Data Analytics Specialist

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

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