At a Glance
- Tasks: Assess apprentices in Data Engineering, Machine Learning, and AI, providing constructive feedback.
- Company: Leading UK Apprenticeship Training Provider focused on people-powered transformation.
- Benefits: Up to £60k salary, fully remote work, and opportunities for professional growth.
- Other info: Join a supportive team with a commitment to upskilling and innovation.
- Why this job: Make a real impact by shaping the future of tech talent in a dynamic environment.
- Qualifications: Hands-on experience in data engineering, machine learning, or AI; assessor qualifications preferred.
The predicted salary is between 54000 - 60000 £ per year.
Location: UK Remote / Home Based (fully remote)
Job Type: Permanent
Salary: Up to £60k
Industry: Education
Assessing across: Data Engineer Level 5, Machine Learning Engineer Level 6, and Artificial Intelligence (AI) Data Specialist Level 7
Company: One of the UK's leading Apprenticeship Training Providers is recruiting an Independent End Point Assessor to join their Data & AI delivery team. This is a full time, permanent position which is fully remote and home based. They believe in people-powered transformation because they know that all transformation starts with people. They are a professional learning organisation that upskills people, uplifts cultures and future-proofs organisations in a fast-moving world. They design and deliver interactive learning experiences in data, AI, business analysis and technology, including apprenticeships and professional qualifications, many of which maximise UK Government future skills funding.
What you'll do:
- As an Independent End Point Assessor, you will assess apprentices against the requirements of three technical standards and make robust, evidence-based grading decisions.
- Conduct end point assessments across Data Engineer L5, Machine Learning Engineer L6 and AI Data Specialist L7, applying each assessment plan accurately.
- Assess project reports, presentations, professional discussions and technical tests, and grade to pass, merit or distinction against the published criteria.
- Question apprentices with enough technical depth to test genuine competence, not just surface knowledge.
- Give clear, fair and constructive feedback, and produce high-quality written assessment records.
- Maintain consistency and standardisation across assessments, contributing to standardisation activities and moderation.
- Keep up to date with changes to the standards and assessment plans.
Technical experience required:
This is a technical role. You will be assessing at Level 5 through Level 7, so you need genuine hands-on depth across some or all of the following:
- Data engineering: building and maintaining data pipelines, ETL/ELT, SQL, cloud data platforms (for example Azure, AWS or GCP), tools such as dbt, Databricks, Airflow, Snowflake or BigQuery.
- Machine learning: designing, training, deploying and monitoring models in production, Python, and the ML lifecycle including MLOps.
- Applied AI: modern AI and generative AI techniques, responsible AI, and evaluating AI systems.
- Occupational competence at or above the level you are assessing, evidenced by your own career experience.
Desirable qualifications and experience:
- Degree in a technical or numerate subject (data, computer science, engineering, maths or similar). A master's is an advantage for Level 7.
- Assessor qualifications (A1, TAQA, CAVA, or D32/D33), or a willingness to work towards them.
- Familiarity with apprenticeship standards and end point assessment processes.
- Previous EPA, assessing, coaching or teaching experience in a technical setting.
- Experience using e-portfolio systems to capture evidence of learning.
If this sounds like a good match, please get in touch ASAP as remote interviews are taking place immediately.
Data Science/Engineer & AI Coach / Assessor in Doncaster employer: Versende Ltd
As a Lead Internal Quality Assurer (IQA) at our Ofqual-accredited apprenticeship assessment organisation, you'll be part of a dynamic and innovative team dedicated to enhancing the quality of apprenticeship delivery. We foster a collaborative work culture that prioritises professional growth, offering opportunities for continuous improvement and development in a hybrid London setting. With a focus on technology and real-world success for apprentices, we provide a supportive environment where your expertise can make a significant impact on the future of education and training.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science/Engineer & AI Coach / Assessor in Doncaster
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We think you need these skills to ace Data Science/Engineer & AI Coach / Assessor in Doncaster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Versende Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Versende Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Versende Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Versende Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
