Digital Apprenticeship Assessor

Job Description:

• Assess apprentices against the Knowledge, Skills, and Behaviours for Data Technician Level 3, Data Analyst Level 4, Digital Support Technician Level 3, and Machine Learning Level 6 standards
• Conduct assessments including projects, professional discussions, mock professional discussions, and observations
• Make accurate and timely assessment decisions
• Provide clear, constructive feedback to apprentices
• Collaborate with Learner Support Coaching to determine learner readiness for formal assessment
• Liaise with the IQA team on sampling and validation of assessment decisions
• Maintain accurate assessment records according to IQA guidelines
• Ensure compliance with Assessment Organisation, DfE, IQA, safeguarding, Prevent duty, data protection, and organisational requirements
• Apply equality, diversity, and inclusion principles throughout assessment
• Ensure learner inclusion during assessments
• Maintain current occupational knowledge of data and AI roles and tools
• Maintain CPD in data and assessment practice
• Communicate with apprentices and colleagues
• Participate in standardisation activities
• Plan working days around outcomes, projects, and business needs
• Adjust working hours occasionally to support clients in different time zones
• Report to the Quality & Curriculum Assurance Manager

Requirements:

• 2+ years of experience assessing data or digital apprenticeship standards
• Strong knowledge of data collection, analysis, and interpretation
• Experience using AI tools
• Assessor qualification (TAQA, A1, CAVA or equivalent)
• Data-driven and proactive, using insights to inform strategy, measure impact, and drive continuous improvement
• IQA qualification desirable
• Data or analytics-related degree or professional qualification desirable
• EPA assessment experience desirable
• Advanced Excel
• SQL
• BI tools such as Power BI and/or Tableau
• Python
• Competence using AI tools and AI automation
• Knowledge of GDPR and data governance
• Understanding of Level 3, Level 4 and Level 6 apprenticeship standards
• Current occupational knowledge of data and AI roles and tools
• Commitment to continuous professional development
• Ability to communicate effectively with apprentices and colleagues
• Compliance with safeguarding, Prevent duty, and data protection requirements
• Successful candidates must undergo a DBS check; an Enhanced DBS check including a barred list check is required where the role meets regulated-activity criteria
• Two professional references from an HR department, current or previous manager, or someone senior in the business
• Availability for working hours of 9 am to 5 pm Monday to Friday UK time, with occasional flexibility for other time zones

Benefits:

• 33 days leave per year inclusive of bank holidays
• Additional tenured holiday of one day per year after the first 2 years, up to 8 days
• Office closure for 2 full weeks at Christmas at Decoded's discretion, not deducted from holiday allowance
• Modern, flexible and fully serviced offices at WeWork
• Company pension contributions
• Private health care including dental, GP and hospital cover
• Gym discount
• Travel insurance
• Social events, including in-person company get-togethers, department away days and Christmas lunch
• Continuous learning and development
• Free monthly lunches
• Casual dress every day
• Flexible working time and rest breaks when working outside normal hours
• Benefits may differ slightly depending on location of residence