At a Glance
- Tasks: Assess apprentices in digital skills and provide constructive feedback for their growth.
- Company: Join Decoded, a leader in transformative tech education.
- Benefits: Enjoy 33 days leave, private healthcare, and flexible working hours.
- Other info: Dynamic work environment with opportunities for continuous learning and development.
- Why this job: Make a real impact by shaping the future of tech talent.
- Qualifications: Experience in assessing digital standards and knowledge of data tools required.
The predicted salary is between 38000 - 38000 £ per year.
About Decoded
We are Decoded, the pioneers of transformative technology education. We democratise cutting-edge skills and help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work through the intelligent, ethical, and creative application of technology.
Overview
As a Digital Apprenticeship Assessor, you are responsible for assessing apprentices against the Knowledge, Skills, and Behaviours (KSBs) for our Data Technician (Level 3), Data Analyst (Level 4), Digital Support Technician (Level 3), and Machine Learning (Level 6) standards. You will ensure all assessment decisions are fair, valid, reliable, and fully compliant with regulatory standards and organisational policies. The role plays a vital part in the learner journey, providing the critical evaluation and feedback necessary to move apprentices through their program and toward successful completion.
Accountabilities
- Assessment Delivery: Conducting high-quality assessments against digital standards, including projects, professional discussions, and observations.
- Quality & Compliance: Maintaining accurate assessment records and ensuring total compliance with Assessment Organisation, DfE, and IQA guidelines.
- Learner Readiness: Collaborating with Learner Support Coaching to determine when learners are prepared for formal assessment.
- Inclusive Practice: Applying equality, diversity, and inclusion principles to ensure learner inclusion throughout the assessment process.
- Professional Standards: Maintaining up-to-date occupational knowledge of data and AI tools to ensure assessments reflect current industry practice.
Specific roles and responsibilities:
- Assessment Delivery: Conduct high-quality assessments of apprentices against the digital standards following the guidance of the Assessment Organisation.
- Assess a range of evidence, including projects, professional discussions, and observations, including Mock professional discussions as required.
- Make accurate and timely assessment decisions.
- Provide clear, constructive feedback to apprentices following the guidance of the assessment organisation.
- Work closely with the Learner Support Coaching team to determine when learners are ready for assessment.
- Liaise with the IQA team on sampling and validation of assessment decisions.
- Quality & Compliance: Maintain accurate assessment records in accordance with IQA guidelines.
- Ensure compliance with Assessment Organisation / DFE requirements.
- Apply equality, diversity, and inclusion principles.
- Comply with safeguarding, Prevent duty, and data protection requirements.
- Ensure learner inclusion when conducting assessments.
- Occupational Competence & Standard Knowledge: Apply current occupational knowledge of data and AI roles and tools.
- Understand the differences between Level 3, Level 4 and Level 6 standards.
- Maintain CPD in data and assessment practice.
- Stakeholder Engagement: Communicate effectively with apprentices and colleagues.
- Participate in standardisation activities.
Team & Reporting Structure
This role will report into the Quality & Curriculum Assurance Manager.
Job requirements
Who are you?
Essential:
- Strong knowledge of data collection, analysis, and interpretation.
- 2+ years of experience assessing data or digital apprenticeship standards.
- Experience of 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.
Desirable:
- IQA qualification.
- Data or analytics-related degree or professional qualification.
- EPA assessment experience.
Technical Skills:
- Advanced Excel.
- SQL.
- BI tools such as Power BI and or Tableau.
- Python.
- Competent in the use of AI tools and AI Automation.
- Knowledge of GDPR and data governance.
Skills & Behaviours:
Your performance will be measured by and driven by a mindset built on being:
- Fair, objective, and consistent.
- Organised and detail-focused.
- Professional and approachable.
- Committed to continuous professional development.
Day-To-Day
Our working hours are 9 am to 5 pm, Monday to Friday (UK time). You plan your working day around the best outcomes for success, identifying and prioritising projects against business needs. As we work with clients across different time zones, there may occasionally be times when you need to be flexible, for example, delivering a session for a US-based client might mean finishing later in the evening. When this happens, you're encouraged to adjust your hours, such as starting later that day or the next, to support a healthy work-life balance.
Given the global nature of our learner and customer base, you may be required to adjust your working hours, working outside your normal working pattern of 9am – 5pm. We will endeavour to provide as much notice as is reasonably possible and discuss this with you in advance of any prolonged requirements. In these cases, you will be entitled to flexibility around working time to ensure adequate rest breaks.
Apart from the above, working at Decoded means you’ll get:
- 33 days leave per year (inclusive of bank holidays) and an extra tenured holiday enabling team members to gain an additional day for every year you are with us (after the first 2 years) up to a maximum of 8. We also close the office for 2 full weeks at Christmas at Decoded's discretion, which does not come out of your holiday allowance.
- Modern, flexible and fully serviced offices at WeWork.
- Company pension contributions.
- Private health care, including dental, GP and hospital cover & gym discount to help you prioritise your wellbeing.
- Travel insurance.
- Social events, including in-person company get-togethers, department away days and Christmas lunch.
- Continuous learning and development. You will be challenged with lots of responsibility and exciting projects in an environment that encourages learning, creativity, personal growth, and collaboration.
- Free monthly lunches.
- Casual dress every day.
Salary: Up to £38,000 per annum.
Decoded is committed to safeguarding and promoting the welfare of young people and vulnerable adults and expects all staff to share this commitment. All roles involving interaction with learners or access to sensitive learner data are subject to mandatory background clearances. Successful candidates will be required to undergo a DBS check; where the role meets the criteria for regulated activity, an Enhanced DBS check (including a barred list check) will be required prior to commencement of employment.
We also require 2 professional references that come from either of the following:
- Your HR department.
- Current or previous manager.
- Someone senior to you in the business.
Digital Apprenticeship Assessor in London employer: Decoded Limited
Contact Detail:
Decoded Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Apprenticeship Assessor in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your skills. This will help you tailor your responses and show you're genuinely interested in the role.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online resources. The more comfortable you are speaking about your experiences and skills, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Digital Apprenticeship Assessor in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Digital Apprenticeship Assessor role. Highlight your experience with data standards and assessment, and show us how your skills align with what we're looking for.
Showcase Your Knowledge: We want to see your understanding of the Knowledge, Skills, and Behaviours (KSBs) relevant to the role. Mention any specific tools or methodologies you've used in your previous roles that relate to data and AI.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Decoded Limited
✨Know Your Standards
Familiarise yourself with the Knowledge, Skills, and Behaviours (KSBs) for the various apprenticeship levels. Understanding the specific requirements for Data Technician, Data Analyst, Digital Support Technician, and Machine Learning will help you articulate how your experience aligns with these standards during the interview.
✨Showcase Your Assessment Experience
Be ready to discuss your previous experience in assessing apprentices or similar roles. Highlight any specific projects or assessments you've conducted, and be prepared to explain how you ensured fairness and compliance with regulatory standards.
✨Demonstrate Your Tech Savvy
Since the role involves using AI tools and data analysis, brush up on your technical skills. Be prepared to discuss your experience with tools like Excel, SQL, Power BI, and Python, and how you've applied them in real-world scenarios.
✨Emphasise Continuous Development
Talk about your commitment to continuous professional development. Mention any recent training or qualifications you've pursued, especially those related to data and assessment practices, as this shows you're proactive and dedicated to staying current in your field.