AI & Data Analytics Specialist

About the Role
The role involves utilizing data engineering, analytics, statistical methods, and AI techniques to generate reliable insights and deploy practical data-driven solutions. The specific profile will be confirmed by the client prior to the commencement of duties.

Key Responsibilities

• Translate business or technical questions into data, analytics, or AI deliverables as per the approved role scope.
• Acquire, clean, validate, transform, and document data from relevant operational and business sources.
• Develop Power BI dashboards, analytical models, machine learning 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 operationalize 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 specialization, 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.