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- Tasks: Design and deliver high-quality online modules in Data Science.
- Company: University of Greenwich, a leader in innovative online education.
- Benefits: Flexible remote work, collaboration with passionate colleagues, and professional growth.
- Why this job: Shape the future of online learning and inspire students in Data Science.
- Qualifications: Experience in programme/module design and online teaching preferred.
- Other info: Join a Gold-rated institution committed to excellence in education.
The predicted salary is between 28800 - 48000 £ per year.
Remote Position
The University of Greenwich has an ambitious strategy to 2030 entitled This is Our Time. An important priority within the strategy is to establish an excellent online learning provision, establishing new innovative programmes along with supporting existing provision to develop further.
Module Leaders play a vital role in the University and are essential to the success of our online ambitions. Under direction from the Programme Lead, you will take responsibility for designing and delivering a high-quality module, aligned with the wider programme aims and practices.
The substantive position for this role is Lecturer in the advertised field. An experienced subject expert in Data Science, you will have an in-depth view of the module, the experience of students on it and understand how this contributes to the overall programme experience.
You will develop and maintain the academic coherence and quality of the module, ensuring it remains current and meets student expectations. This role requires you to be a motivational leader for your students and for your colleagues.
We are looking for applicants who have programme/module design experience. Previous teaching experience as part of a fully online programme is desirable. You will understand quality, regulatory and policy requirements for delivering HE education and have experience of working to these expectations.
An excellent communicator, you will collaborate effectively with staff across Greenwich Online and the University to design an online module. In return you’ll get to work with colleagues passionate about growing quality online education at an exciting time for Greenwich.
Awarded Gold in the 2023 Teaching Excellence Framework, the University has a growing reputation for teaching and learning. Through Greenwich Online we aim to enable greater access to education, cultivating an experience that promotes flexibility and supports our students.
There is an expected start for 1st June 2026. For all informal enquiries about the post please contact Nageena Frost - Programme Lead Data Science (Greenwich Online).
Data Science (Greenwich Online) employer: University of Greenwich
Contact Detail:
University of Greenwich Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science (Greenwich Online)
✨Tip Number 1
Network like a pro! Reach out to current employees at the University of Greenwich on LinkedIn. A friendly message can go a long way in getting insider info and maybe even a referral.
✨Tip Number 2
Prepare for that interview! Research the university's online learning strategy and think about how your experience aligns with their goals. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Don’t forget to showcase your teaching style! If you have a portfolio or examples of your previous work, bring them along. It’s a great way to demonstrate your module design experience and passion for online education.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Greenwich Online.
We think you need these skills to ace Data Science (Greenwich Online)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience in Data Science and online education. We want to see how your skills align with our goals at Greenwich Online, so don’t hold back on showcasing your relevant achievements!
Showcase Your Teaching Experience: Since we’re looking for someone with teaching experience in a fully online programme, be sure to detail any relevant roles you've had. Share specific examples of how you’ve engaged students and delivered quality education remotely.
Communicate Clearly: As an excellent communicator, it’s crucial to convey your ideas clearly in your written application. Use straightforward language and structure your thoughts logically to make it easy for us to understand your vision for the module.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding the position!
How to prepare for a job interview at University of Greenwich
✨Know Your Module Inside Out
Make sure you have a solid understanding of the Data Science module you'll be responsible for. Familiarise yourself with the current curriculum, student expectations, and how your module aligns with the overall programme aims. This will show your commitment and expertise during the interview.
✨Showcase Your Teaching Experience
Be ready to discuss your previous teaching experiences, especially in online settings. Highlight specific examples where you've successfully engaged students and adapted your teaching methods to suit an online environment. This will demonstrate your capability as a motivational leader.
✨Understand Quality Standards
Brush up on the quality, regulatory, and policy requirements for delivering higher education. Be prepared to discuss how you’ve worked within these frameworks in the past and how you plan to maintain academic coherence and quality in your module.
✨Collaborate and Communicate
Emphasise your ability to collaborate effectively with colleagues. Share examples of how you've worked with others to design or improve educational programmes. Good communication skills are key, so be sure to convey your ideas clearly and confidently during the interview.
