AI Analyst Job Description: Role, Duties and Qualifications

The AI analyst role suits professionals who combine strong analytical thinking with practical experience in data and model evaluation. Candidates should apply if they can translate business questions into data-driven solutions, communicate findings to non-technical stakeholders and support safe, responsible AI use across the organisation.

AI Analyst Job Profile

An AI analyst assesses data and models to ensure reliable, transparent and business-aligned outcomes. The role focuses on analysing datasets, validating model behaviour, and producing evidence-based recommendations to improve model performance and operational value.

The post requires collaboration with data engineers, product owners and compliance teams to support model lifecycle activities, drive quality assurance and help embed best practice in AI development and deployment.

AI Analyst Job Description

The AI analyst is responsible for evaluating model outputs, designing evaluation protocols and identifying performance gaps. Work is typically performed within a cross-functional team and includes creating reproducible analyses, documenting assumptions and preparing concise reports for technical and non-technical audiences.

Expectations include maintaining data quality standards, supporting fairness and bias assessments, and contributing to continuous improvement of modelling processes. The role requires regular interaction with stakeholders to prioritise analytical work and to ensure alignment with business objectives and regulatory requirements.

AI Analyst: Duties and Responsibilities

• Analyse datasets to identify patterns, quality issues and suitability for modelling.
• Design and execute model evaluation plans, including accuracy, robustness and stability checks.
• Validate model outputs against business rules and expected behaviour.
• Perform feature analysis and support feature selection and engineering decisions.
• Monitor model performance in production and recommend recalibration or retraining where needed.
• Conduct bias and fairness assessments and report potential impacts on stakeholders.
• Prepare clear, well-structured reports and visualisations for diverse audiences.
• Document methodologies, assumptions and analysis steps to ensure reproducibility.
• Collaborate with data engineering to resolve data quality and lineage issues.
• Support the deployment process by providing pre-release checks and validation results.
• Contribute to the development of evaluation frameworks and quality assurance practices.
• Advise on compliance, privacy and ethical considerations relevant to AI use.
• Keep up to date with relevant research and industry best practice and propose improvements.

AI Analyst: Requirements and Qualifications

• Bachelor's degree in computer science, data science, statistics, mathematics or a related discipline.
• Experience of working in analytics or AI roles, typically 2 or more years.
• Strong understanding of statistical methods, evaluation metrics and experimental design.
• Practical experience preparing and cleansing data for analysis and modelling.
• Knowledge of model validation, monitoring and lifecycle management concepts.
• Awareness of ethical considerations, bias mitigation and data privacy principles.
• Good written and verbal communication skills with ability to present technical findings clearly.
• Problem solving skills and attention to detail when analysing complex datasets.
• Ability to work effectively in cross-functional teams and manage stakeholder expectations.
• Familiarity with reproducible analysis practices and documentation standards.
• Postgraduate qualification or relevant professional certifications desirable but not essential.