Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop MSc programmes in Data Science and mentor students in economics applications.
- Company: Leading higher education institution in vibrant Camden, London.
- Benefits: Generous holidays, flexible working, and professional development opportunities.
- Why this job: Shape the future of data science in economics while enjoying a supportive work-life balance.
- Qualifications: Expertise in data science applications in economics and active departmental engagement.
- Other info: Join a dynamic team committed to employee well-being and career growth.
The predicted salary is between 55000 - 65000 £ per year.
A leading higher education institution in London seeks a Lecturer/Senior Lecturer in Data Science to develop MSc programmes and provide mentorship. Candidates must showcase expertise in data science applications in economics and engage actively in departmental activities.
The position offers a comprehensive benefits package including generous holidays, flexible working arrangements, and professional development opportunities. The role is based in Camden, Greater London with a commitment to support work-life balance and employee well-being.
Senior Lecturer, Data Science for Economics in Camden Town employer: SOAS University of London
Contact Detail:
SOAS University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lecturer, Data Science for Economics in Camden Town
✨Tip Number 1
Network like a pro! Reach out to your connections in academia and data science. Attend relevant events or webinars to meet potential colleagues and mentors who can give you the inside scoop on opportunities.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your work in data science applications for economics. This could include projects, research papers, or even presentations that demonstrate your skills and knowledge.
✨Tip Number 3
Engage with the community! Get involved in departmental activities or online forums related to data science and economics. This not only shows your passion but also helps you stay updated on trends and job openings.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly. Plus, it shows you're serious about joining our team and are keen on the opportunities we offer, like flexible working and professional development.
We think you need these skills to ace Senior Lecturer, Data Science for Economics in Camden Town
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your experience in data science applications specifically related to economics. We want to see how your skills can contribute to developing our MSc programmes.
Engage with Our Values: Familiarise yourself with our commitment to work-life balance and employee well-being. We love candidates who resonate with our culture, so let us know how you align with these values in your application.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at SOAS University of London
✨Know Your Stuff
Make sure you brush up on your data science knowledge, especially how it applies to economics. Be ready to discuss specific projects or research you've done that showcases your expertise. This will help you stand out as a candidate who truly understands the field.
✨Showcase Your Mentorship Skills
Since the role involves providing mentorship, think of examples where you've successfully guided students or colleagues. Prepare to share these experiences during the interview to demonstrate your ability to support and develop others in their academic journeys.
✨Engage with the Department's Vision
Research the institution and its departmental activities. Be prepared to discuss how your vision aligns with theirs and how you can contribute to their goals. This shows that you're not just interested in the job, but also in being an active part of their community.
✨Emphasise Work-Life Balance
Given the institution's commitment to employee well-being, be open about your own approach to work-life balance. Share how you manage your time effectively while still achieving professional goals. This will resonate well with their values and show that you fit into their culture.