Digital Apprenticeship Assessor

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Evaluate apprentices based on 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.

• Carry out assessments including projects, professional discussions, mock professional discussions, and observations.

• Deliver precise and timely assessment decisions.

• Offer clear, constructive feedback to apprentices.

• Work alongside Learner Support Coaching to assess learner readiness for formal evaluations.

• Coordinate with the IQA team regarding the sampling and validation of assessment outcomes.

• Keep accurate assessment records in line with IQA guidelines.

• Ensure adherence to Assessment Organisation, DfE, IQA, safeguarding, Prevent duty, data protection, and organizational requirements.

• Implement principles of equality, diversity, and inclusion during assessments.

• Guarantee learner inclusion throughout the assessment process.

• Stay updated on current occupational knowledge of data and AI roles and tools.

• Engage in continuous professional development in data and assessment practices.

• Maintain communication with apprentices and colleagues.

• Take part in standardization activities.

• Organize working days around outcomes, projects, and business needs.

• Occasionally adjust working hours to accommodate clients in various time zones.

• Report to the Quality & Curriculum Assurance Manager.

⛳️ Requirements

• Minimum of 2 years' experience in assessing data or digital apprenticeship standards.

• Comprehensive understanding of data collection, analysis, and interpretation.

• Familiarity with AI tools.

• Assessor qualification (TAQA, A1, CAVA, or equivalent).

• Data-driven and proactive, utilizing insights to shape strategy, assess impact, and encourage continuous improvement.

• IQA qualification is preferred.

• A degree or professional qualification related to data or analytics is desirable.

• Experience with EPA assessments is a plus.

• Proficient in Advanced Excel.

• Knowledge of SQL.

• Experience with BI tools such as Power BI and/or Tableau.

• Proficient in Python.

• Competent in using AI tools and AI automation.

• Understanding of GDPR and data governance.

• Familiarity with Level 3, Level 4, and Level 6 apprenticeship standards.

• Current occupational knowledge of data and AI roles and tools.

• Commitment to ongoing professional development.

• Strong communication skills with apprentices and colleagues.

• Compliance with safeguarding, Prevent duty, and data protection regulations.

• Successful candidates must complete a DBS check; an Enhanced DBS check with a barred list check is required if the role meets regulated activity criteria.

• Two professional references from an HR department, current or previous manager, or a senior individual in the organization.

• Availability during working hours of 9 am to 5 pm Monday to Friday UK time, with occasional flexibility for other time zones.

🏝️ Benefits

• 33 days of leave annually, including bank holidays.

• An additional day of leave for each year of service after the first 2 years, up to a maximum of 8 days.

• Office closure for two full weeks during 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 coverage.

• Gym discounts.

• Travel insurance.

• Opportunities for social events, including in-person company gatherings, departmental away days, and Christmas lunches.

• Continuous learning and development opportunities.

• Complimentary monthly lunches.

• Casual dress code every day.

• Flexible working hours and rest breaks when working outside of normal hours.

• Benefits may vary slightly based on location of residence.