- Ref. : 1000008554
- London
- London
- Data Level 3 Technical Apprenticeships Tutor
Home based/travel to site if required
Job Summery
Teaching Data Apprenticeship programmes at Level 3 & 4 as part of our programme delivery, aimed at empowering individuals and organisations to unlock the power of data. You’ll design and deliver cutting-edge training programs in database design and visualisations using industry standard software. Finally, you’ll get the opportunity to collaborate with subject matter experts to develop and refine learning content that empowers learners to excel in the evolving data landscape.
Role Responsibilities:
Craft and deliver immersive and cutting-edge experiences across the Data Science curriculum, captivating learners from diverse backgrounds and organisations.
Collaborate and innovate with subject matter experts to develop dynamic and engaging courses and other high-impact learning assets that drive growth. Provide in-depth expert knowledge in your specialist area, offering insights cross functionally when required.
Champion quality and innovation by upholding the highest standards of excellence and drive innovation as a key ambassador for our renowned training programs.
Fuel your growth by taking ownership of your professional development, ensuring your expertise remains relevant and cutting-edge in the ever[1]evolving field of data science – 3 days of free training on any of our courses available
Your Experience/Skills:
Experience in using data tools such as: PowerBi, Tableau, Data Storytelling, SQL
Proficient in the use of programming languages: Python. SQL
Experience in using and good knowledge of: Data manipulation & visualisations, Data modelling, Data architecture and cloud, Data analytics and statistics
Desirable knowledge of apprenticeships and work-based learning
Desirable knowledge of the Ofsted Common Inspection Framework
Desirable industry experience with teaching/ coaching experience
Passion for lifelong learning and development as a profession
- TBC
- Ref. : 1000008355
- Site Based
- Other
- Data Engineering Trainer
Location: Remote
Full time/Permanent
You will be responsible for delivering both QA and vendor specific innovative professional Data Engineering, Data Science and AI courses to our clients.
As the industry evolves you will support the design and development of new innovative training courses.
Working with stakeholders to design, develop and deliver tailored training programmes to meet our client needs.
Role Responsibilities:
Attain a consistent Trainer Satisfaction Score (TSAT) of 88%+
Achieve ‘Meeting Expectations’ in trainer observation
Conduct peer observations
Capably engage with clients to understand their business need and identify an appropriate learning solution
Lead the design, development, and delivery of tailored learning programmes
Provide in-depth expert Data knowledge, offering insights on cross functionally when required
Develop and maintain stakeholder relationships
Your Experience/Skills:
Communication and Teaching: Excellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging manner
Technical Proficiency: Expertise in data science programming languages (e.g. Python, R, PyTorch, Java) and data processing frameworks (e.g. Apache Hadoop, Spark) is essential. Proficient in PowerBi, Tableau or Qlik
Data Management: Strong understanding of data modelling, ETL processes, and database management (SQL and NoSQL) to design and maintain robust data architectures
Analytical Skills: Ability to perform root cause analysis, optimize data pipelines, and ensure data quality and integrity
Industry Knowledge: Familiarity with cloud computing platforms (AWS, GCP, Azure) and experience working with AI/ML engineers, data scientists, and other data professionals
Wider Knowledge: Desirable knowledge of data governance and managing data engineering projects aligned with business objectives
- DUMMY
- Ref. : 1000008481
- London (International House)
- London
- PMQ Project Management Trainer
Location: London, hybrid/remote (60-70% remote)
Employment Type: Full-time / Permanent
Are you a Project Management Trainer looking for that next step? Or maybe you’re an established Project Manager looking for a rewarding career change in training?
If you want to be part of a genuinely supportive and professional environment, teaching what you are most passionate about, then QA could be the company you’re looking to join! We’re the UKs leading IT digital skills provider – experts in upskilling, re-skilling and other talent needs required by established public sector organisations, enterprises, and higher education universities!
What’s my purpose?
When you join QA, your pivotal role will be to simply deliver high quality courses to our learners! This could be in a classroom or virtual setting, but we need enthusiasm and interactive courses to help get the best out of those we’re teaching!
What responsibilities would I have?
You’ll be delivering core PPM courses to practitioner level that is APM PMQ
You’ll support us with customization of learning topics or programmes, offering your subject level expertise and utilising it
You’ll contribute to QA’s success by reviewing learner evaluations and finding areas for improvement
You will be providing learners with post-course support through various avenues of contact where necessary
Like with most roles, you’ll need to undertake some administrative tasks too!
What do I need to apply and succeed?
You’ll be teaching project management courses, so we’d ask you have a APM PMQ qualification
You’ll be great in this role if you have a technical background in project management – You’ll have been a Project Manager at one point in your career!
Although it would be perfect if you had training experience already, we’re all about the desire to succeed so this is preferred but not essential by any means!
- TBC
- Ref. : 1000008365
- Home Based
- Other
- Data and Software lecturer
Home based
About our role:
As a Lecturer in the Degree Apprenticeship team in QAA you will be working with learners that are studying alongside full-time work to develop themselves in their professional specialism. We teach using Blended Learning, which means that our Lecturers support learners through the development of online content and activities, remote interactive sessions (e.g. WebEx or discussion forums) and in live-online or Face-to-Face workshop.
Key Responsibilities
To design and take ownership for multiple modules on the Degree Apprenticeship programmes, and to contribute to the delivery of high quality learning. This will include online support throughout the programme and delivery of a series of face-to-face live online workshops
Development of course materials for a number of modules, including video for online learning, exercises, slides and assessments
To contribute to the wider team activities on assessment and teaching as required.
To make an active contribution to ensure this programme continues to improve, and that all
Skills & Abilities
Subject Areas (suggested in the Software and Data area but not limited to)
Software
Coding and Programming experience (Python experience essential)
Full stack / Web development
Automation in software development
Flask
Django
DevOps
Data
Machine learning
SQL
Data Visualisation - Power BI
Data Analytics / Statistics
Your Qualifications and Knowledge
Essential:
A post-graduate degree (MSc)
Subject specific qualifications
Desirable:
PhD
Teaching qualification
Excellent, detailed knowledge of more than one topic within the required subject areas
Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education
Understanding of equality and diversity issues
- TBC
- Ref. : 1000008577
- Home Based
- Other
- Role: Data Analytics Apprenticeship Coach
Location: Remote (home-based)
Contract: Full time, 37.5 hrs per week
Package: competitive base salary plus benefits
Job purpose:
You will join QA as an apprenticeship coach; your focus will be to provide learners with feedback and support on Data concepts by coaching and mentoring the learners working towards the successful and timely achievement of their apprenticeship programme.
About you:
A key part of the role is to provide learners with feedback and support on Data analytics concepts. It is therefore important that you have:
Recent industry experience in a Data analytics role.
Worked with large sets of data using visualisation tools; PowerBi and Tableau
Be proficient in statistical programming languages such as Python or R and competent in SQL and other databases.
If you have an understanding of the developments in data analysis including data science concepts and have the ability to mentor and coach learners through their apprenticeship, then this could be the role for you.
A ‘day in the life’ of an apprenticeship coach
Coach and support a caseload of learners.
Collaborate with Learning Specialists and Quality Assurance Consultants to ensure learners successfully achieve their apprenticeship programme on time.
Provide clear and detailed written feedback on learning activities and goal completion.
Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.
A little about QA:
At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest-growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners since 1985.
We believe skills alone aren’t enough, but need to be applied back to the business in order to effect change. We do this through tailored learning programmes that connect learning across an organisation’s siloes, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solution draws from deep expertise across apprenticeships and instructor-led training, and self-paced learning.
QA is headquartered in London and New York. Learn more at QA.com
What We'll Do For You!
QA is committed to safeguarding and promoting the welfare of children, young people and adults with care and support needs. We hold the expectation that all staff share this commitment in creating a safe and inclusive environment and as an organization, we comply with relevant legislation and best practices in safeguarding and safe recruitment.
This post is exempt from the Rehabilitation of Offenders Act 1974
- HOMEBASED
- Ref. : 1000008502
- Cheltenham (Delta House)
- Gloucestershire
- Lecturer in Data Science & Machine Learning
QA Higher Education – We have sessional / part-time positions.
Face-to-Face (F2F) teaching. There may be instances where sessions are conducted via online platforms.
Location: London
Are you an experienced Lecturer in Data Science & Machine Learning looking for a full time position within a dynamic organisation, where you can be proud and feel rewarded watching our learners succeed?
We have an exciting opportunity for you to be part of our growing and expanding programme of delivery.
Your focus:
As a Lecturer your responsibilities will be, inter alia:
Ensuring / supporting / managing students’ progression and achievement.
Planning, preparing, teaching modules both online and in a classroom, setting using our innovative delivery methods and cutting-edge curriculum.
Providing guidance and support to our students and powering each student’s potential.
Essential Criteria:
Applicants are required to have:
AWS, Hadoop, Spark to analyse a real-world dataset.
Deep Learning on AWS.
MLOps
Additional Requirements:
You may have a teaching qualification and / or HEA accreditation / membership, which would be a distinct advantage.
What we can give you:
Access to innovative delivery methods, and exciting course material
A chance to work with like-minded educational enthusiasts
A chance to share and learn delivery best practice and industry leading knowledge
Specialist coaching and support from your education leaders
#LifeAtQA
#highereducation
#lecturer
#TH1
#london
- GL53 7TH
- Ref. : 1000008363
- Home Based
- Other
- Data Analytics Apprenceship Tutor
Remote
Full time/Permanent
Role Purpose
As a Data Analytics trainer with QA, you will be at the forefront of data and technical delivery, working with subject matter experts to develop, design and deliver cutting-edge Apprenticeship programs using the latest industry standard software.
Role Responsibilities:
Craft and deliver immersive and cutting-edge experiences across the Data Science curriculum, captivating learners from diverse backgrounds and organisations.
Collaborate and innovate with subject matter experts to develop dynamic and engaging courses to promote outstanding delivery.
Provide in-depth expert knowledge in your specialist area, offering insights cross functionally when required.
Champion quality and innovation by upholding the highest standards of delivery, adopting our 6 quality principles
Fuel your growth by taking ownership of your professional development, ensuring your expertise remains relevant and cutting-edge in the ever-evolving field of data technology
Complete accurate and timely attendance registers for 100% delivery
Your Experience/Skills:
Building and manipulating database applications, both locally and in the cloud
Craft captivating learning experiences which demonstrate your design, development, and delivery of learning in Data.
Proficient in non-scripting ETL tools.
Proficient in Power Bi, Tableau, Qlik and Databricks.
Knowledge and experience of data analytics.
Champion of data management best practice.
Versatility in subject knowledge supporting multiple delivery programme opportunities
Shows a thirst for skills, knowledge and understanding in the following:
Data storytelling with PowerBI and Desktop (including DAX).
Engineering data in Azure.
Virtuoso with Microsoft SQL databases (on-premises and within Azure).
Data wrangling wizard using C#, R and Python.
Passion for lifelong learning and development as a profession.
- TBC
- Ref. : 1000008441
- Home Based
- Other
- Computing Lecturer
Home based
Job Purpose
As a Lecturer in the Degree Apprenticeship team in QAA you will be working with learners that are studying alongside full-time work to develop themselves in their professional specialism. We teach using Blended Learning, which means that our Lecturers support learners through the development of online content and activities, remote interactive sessions (e.g. WebEx or discussion forums) and in live-online or Face-to-Face workshop. The role of a Lecturer includes delivery of workshops, marking and module leadership.
Role Responsibilities:
To design and take ownership for multiple modules on the Degree Apprenticeship programmes, and to contribute to the delivery of high quality learning. This will include online support throughout the programme and delivery of a series of face-to-face live online workshops
Development of course materials for a number of modules, including video for online learning, exercises, slides and assessments
To contribute to the wider team activities on assessment and teaching as required.
To make an active contribution to ensure continual programme improvements, and that all apprentices receive a high quality learning experience.
Act as moderator and peer reviewer for other modules on a termly basis.
Feedback from apprentices in evaluations judge the quality of learning to be “very satisfied” or “satisfied”, using the Satisfaction score calculation to ensure a target of a minimum of 90% is achieved.
Teaching and learning practice are consistently judged to be ‘good’ or ‘ outstanding’ as part of the regular peer observations of teaching and learning.
Your Experience/Skills
Essential Qualifications:
A post-graduate degree (MSc or similar)
A teaching qualification or a desire to obtain one, preferably Fellowship of the Higher Education Academy
Subject specific qualifications
Desirable Qualifications:
PhD or working towards one
Teaching qualifications
Ability to deliver practical and engaging teaching and learning sessions.
Industry experience within subject area.
Excellent, detailed knowledge of more than one topic within the required subject areas (e.g. IT PM, Computer Science, Business & Tech, Data Science).
Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education.
Understanding of equity and diversity issues.
- B5 4UA
- Ref. : 1000007616
- London
- London
- Deputy Programme Leader – Degree Apprenticeship
Home Based
What will you be doing?
As Deputy Programme Leader, you will be responsible for assisting the Programme Leader in the leadership and academic management of the Digital & Technology Specialist Degree Apprenticeship programme.
We use a blended learning approach to the delivery of our programmes, meaning that our Lecturers support learners through online content and activities, remote interactive sessions (e.g. WebEx or discussion forums) and in live-online or Face-to-Face workshops.
You will help to ensure compliance with academic and apprenticeship standards, providing a high-quality student experience and cultivating a high-calibre academic team.
Key Responsibilities
Support the Programme Leader in the day to day running of the programme to ensure the programme is fit for purpose & delivers an excellent learner experience, including responding to learners within necessary SLA’s.
Assist with preparation for exam boards and attend where necessary.
Liaise with Module Leaders and Lecturers regarding delivery, assessment, marking and management of modules.
Act as a point of contact for Module Leaders on the programme/s where required.
Monitor and review student’s achievement/progression, implementing additional support mechanisms as appropriate.
Deliver high-quality learning across the Digital Degree Apprenticeship and Higher Apprenticeship programmes at Level 6 and 7.
Development of course materials including videos for online learning, learning activities, slide decks and assessments for multiple modules within the relevant portfolio.
Criteria needed for this position
Essential: MSc achieved in a STEM / Tech related subject
Essential: Experience in a Programme Leader/Module Leader/Head of Level role within an educational setting.
Industry experience in one of these subject areas: IT Project management, Data, AI and/or Software engineering.
Desirable: Teaching qualification achieved
- TBC
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