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For Companies At a Glance
- Tasks: Teach and support learners in Data Science and AI through blended learning methods.
- Company: Join QA, a leader in reskilling and upskilling for top UK enterprises.
- Benefits: Enjoy flexible working options and the chance to impact future talent.
- Why this job: Shape the next generation of tech professionals while working with major brands.
- Qualifications: Background in Data Science & AI; teaching experience is a plus.
- Other info: Remote work available; engage in innovative programme improvement initiatives.
The predicted salary is between 36000 - 60000 £ per year.
As a Lecturer in the Degree Apprenticeship team at QAA, you will work with learners balancing full-time work and study to develop their professional skills. We utilize Blended Learning, supporting learners through online content, remote interactive sessions (e.g., WebEx, discussion forums), and live-online or face-to-face workshops.
Key Responsibilities
- Design and own multiple modules on the Degree Apprenticeship programmes, ensuring high-quality learning delivery.
- Provide online support throughout the programme and deliver face-to-face or live-online workshops.
- Develop course materials, including videos, exercises, slides, and assessments.
- Contribute to team activities related to assessment and teaching.
- Participate actively in programme improvement initiatives.
Skills & Abilities
- Background in Data Science & AI training.
- Experience with tools such as PyTorch, Python, R, C#, Java.
- Desirable: Experience with cloud-native data services like AWS or Azure.
- Strong understanding of data science technologies, statistics, and programming skills.
- Subject Areas Relevant to AI and Data, but not limited to these fields.
Qualifications and Knowledge
- Desirable: PhD in a relevant field.
- Teaching qualification is a plus.
What We Offer
At QA, our mission is powering people's potential. We focus on reskilling, upskilling, apprenticeships, and talent development for leading enterprises and public sector organizations across the UK. We work with major brands like the BBC, AWS, Google, Deloitte, and JP Morgan, providing a competitive edge in the digital world.
Data and AI lecturer employer: QA Limited
Contact Detail:
QA Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and AI lecturer
✨Tip Number 1
Familiarise yourself with the latest trends in Data Science and AI. This will not only help you in interviews but also show your passion for the subject, which is crucial for a teaching role.
✨Tip Number 2
Engage with online communities or forums related to Data Science and AI. Networking with professionals in the field can provide insights and potentially lead to recommendations for your application.
✨Tip Number 3
Prepare to discuss your experience with specific tools like PyTorch, Python, and cloud services such as AWS or Azure. Being able to articulate your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Consider creating a portfolio showcasing your work in Data Science and AI. This could include projects, course materials, or any relevant teaching experiences that demonstrate your ability to deliver high-quality learning.
We think you need these skills to ace Data and AI lecturer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your background in Data Science and AI training. Include specific tools you have experience with, such as PyTorch, Python, R, C#, and Java, to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and how your skills can contribute to the Degree Apprenticeship team. Mention any relevant experience in developing course materials and delivering workshops.
Showcase Your Teaching Experience: If you have a teaching qualification or previous experience in education, be sure to highlight this. Discuss any innovative teaching methods you've used, especially in blended learning environments.
Demonstrate Continuous Improvement: Mention any initiatives you've been part of that focus on programme improvement. This could include feedback mechanisms, curriculum development, or participation in educational workshops.
How to prepare for a job interview at QA Limited
✨Showcase Your Teaching Experience
Make sure to highlight any previous teaching or lecturing experience you have, especially in blended learning environments. Discuss how you've engaged students in both online and face-to-face settings.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with relevant programming languages and tools like Python, R, and PyTorch. You might even be asked to solve a technical problem on the spot, so brush up on your skills!
✨Prepare Course Material Examples
Bring along examples of course materials you've developed, such as slides, exercises, or assessments. This will show your ability to create engaging content and your understanding of effective teaching strategies.
✨Engage in Programme Improvement Discussions
Be ready to talk about how you can contribute to programme improvement initiatives. Share any ideas you have for enhancing the learning experience or adapting to new educational technologies.
