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AI & Data Analytics Specialist
Expertise Recruitment
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted yesterday
About this role
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.