About the role
Required Technical Skill Set
Strong understanding of Educational Assessment domain (Awarding / Grading processes) Knowledge of raw score → scaled score (grade) transformation mechanisms Understanding of criteria-referenced vs norm-referenced scoring Exposure to psychometric principles (normal distribution, statistical modeling, sampling) Experience in data aggregation & analysis (candidate marks, historical data, metadata) Awareness of grade boundary setting and standardization processes Ability to interpret assessment workflows and evaluation lifecycle Familiarity with data tools / statistical platforms (R / Python / SAS – conceptual level) Must-Have
Strong understanding of assessment & awarding lifecycle (not generic K12/HE) Experience in education assessment / examination boards / evaluation systems Experience with grading systems used by boards (WJEC, AQA, Pearson, etc.) Knowledge of statistical concepts (normal distribution, sampling, scaling) Ability to support data-driven decision-making & analysis Strong stakeholder communication (business + evaluation bodies) Exposure to workflow systems for evaluation/review processes
Responsibility of / Expectations from the Role
Provide end-to-end expertise in assessment and awarding processes Translate raw marks into standardized grades using domain understanding Support analysis of grading patterns and standardization across exam series Work closely with stakeholders on grade boundary setting and validation Interpret and support statistical outputs from psychometric processes Enable data aggregation, validation, and insight generation Act as a bridge between domain experts (examiners) and technical teams Contribute to workflow design for awarding, review, and approval stages Ensure alignment with industry standards in assessment reliability and fairness Identify improvements in grading accuracy, consistency, and transparency
Qualifications: BACHELOR OF ENGINEERING