Data and Software lecturer
UK, Other, Home Based
QA
Learn. To Change. QA empowers organisations to learn, master and apply new tech skills at scale through expert-led training, courses & apprenticeships.General information
Reference
1000008365Vacancy details
Talent pool
Delivery - Group Learning
Title
Data and Software lecturer
Contract type
QA Ltd Permanent
Job advert
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
What We'll Do For You!
A little about QA:
At QA, our mission is powering people’s potential.
We believe the answer to closing the digital skills gap lies with the people organisations already have and the talent we can bring for the future. We’re experts in reskilling, upskilling, apprenticeships, and other talent needs for leading enterprises and public sector organisations in the UK and we’re proud to work with some of the world's biggest brands including the BBC, AWS, Google, Deloitte, JP Morgan as well as small organisations to give them the competitive edge in the digital world of today.
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 and a comprehensive screening process will be undertaken on successful applicants including:
an enhanced disclosure check
Child Barring list check
qualification checks
online checks
medical fitness
identity and right to work
All applicants will be required to provide two references covering the previous three years and a Criminal Declaration form must be completed and returned ahead of interview.
We look forward to welcoming dedicated individuals who share our commitment to safety and well-being.
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Vacancy location
Location
UK, Other, Home Based
Handled by
Handled by
- Justin Hulbert
- Vidita Kabbe - QA
- Anne-Marie Cosco
Primary handler
Vidita Kabbe - QA
Last name
Kabbe - QA
Forename
Vidita
Vidita.Kabbe@qa.com
Job Description
Attachment
Lecturer in Data Software.docx (98 Kb)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Data Analytics DevOps Django Flask Machine Learning PhD Power BI Python SQL Statistics Teaching
Perks/benefits: Startup environment
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