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- Tasks: Teach Data Science & Analytics courses and enhance student learning experiences.
- Company: Join Hult International Business School, a leader in global business education.
- Benefits: Enjoy a dynamic teaching environment with diverse students and innovative practices.
- Why this job: Make a real impact on future business leaders while advancing your research.
- Qualifications: Master’s degree required; PhD preferred, with strong teaching and research background.
- Other info: Must have the right to work in the UK without visa sponsorship.
The predicted salary is between 36000 - 60000 £ per year.
Adjunct Faculty in Data Science & Analytics
Hult International Business School seeks impactful teachers to train and launch the next generation of international business leaders. Specifically, we are seeking an Adjunct Faculty in Data Science & Analytics with our undergraduate business program in London, UK. The successful candidate has a proven record of facilitating excellent student experiences. Even more important is the candidate’s demonstrated willingness to improve teaching practices and to innovate new tools and techniques to achieve student learning objectives. The ideal candidate will also have active research projects that have and will continue to generate relevant and rigorous intellectual contributions in both academic and practitioner-oriented channels. Finally, the candidate should desire to join our community with an explicit desire to improve all aspects of the Hult educational experience, including those outside of the classroom.
Candidates who are able to teach the following courses will be given priority:
- Introduction to Data Analytics
- Fundamentals of Business Analytics
- Introduction to Programming with Python
- Supervised Machine Learning
Expected Qualifications:
- Minimum of a Master’s degree related to the area of teaching, with a preference for an earned doctorate (PhD or DBA) from an AACSB-accredited institution. Applicants within a year of completing their doctorate (i.e. ABD) will also be considered
- Demonstrated knowledge and teaching experience in Data Science & Analytics at a graduate and undergraduate level, with an average teaching evaluation above 4 out of 5.
- Evidence of successful teaching to large groups of internationally diverse students at the university level. A Hult classroom with 65 students may represent 40 different nationalities.
- Evidence of scholarly activity directly related to the applicant’s discipline, with at least one peer-reviewed article and one practitioner-related output per year.
- Professional experience in international business is highly desirable to bring direct, relevant business practice into the classroom. Candidates who have extensive professional experience without a PhD may be considered.
Applications should include a CV and official teaching evaluations. Candidates who progress in the interview process will be asked for three references.
Please note that you must have the right to work in the UK without visa sponsorship, now or in the future, to be considered for this position.
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Adjunct Faculty in Data Science & Analytics employer: EF Education First Gruppe
Contact Detail:
EF Education First Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Adjunct Faculty in Data Science & Analytics
✨Tip Number 1
Network with current or former faculty members at Hult International Business School. They can provide insights into the teaching culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 2
Showcase your innovative teaching methods and any tools you've developed in your previous roles. Be prepared to discuss specific examples of how these have improved student engagement and learning outcomes.
✨Tip Number 3
Highlight your experience with diverse student groups. Prepare anecdotes that demonstrate your ability to adapt your teaching style to meet the needs of students from various cultural backgrounds.
✨Tip Number 4
Stay updated on the latest trends in Data Science & Analytics. Being able to discuss recent developments or research in your field during interviews will show your commitment to continuous learning and improvement.
We think you need these skills to ace Adjunct Faculty in Data Science & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your teaching experience in Data Science & Analytics, especially any courses you've taught that align with the job description. Include specific metrics, such as your average teaching evaluations, to demonstrate your effectiveness.
Showcase Scholarly Activity: Include details of your research projects and publications, particularly peer-reviewed articles and practitioner-related outputs. This will show your commitment to academic rigor and relevance in the field.
Prepare Teaching Evaluations: Gather and present your official teaching evaluations clearly. Highlight any positive feedback that reflects your ability to engage a diverse student body and improve their learning experiences.
Express Your Passion for Teaching: In your application, convey your enthusiasm for teaching and your desire to innovate in educational practices. Mention any specific tools or techniques you have used to enhance student learning outcomes.
How to prepare for a job interview at EF Education First Gruppe
✨Showcase Your Teaching Philosophy
Be prepared to discuss your teaching philosophy and how it aligns with the innovative approach that Hult International Business School values. Highlight specific examples of how you've improved student experiences in the past.
✨Demonstrate Your Research Impact
Since the role requires active research, be ready to talk about your current projects and how they contribute to both academic and practitioner-oriented channels. Mention any peer-reviewed articles or outputs that showcase your scholarly activity.
✨Emphasise International Experience
Given the diverse student body, share your experiences working with international students or in multicultural environments. This will demonstrate your ability to engage effectively with a wide range of perspectives.
✨Prepare for Course-Specific Questions
Familiarise yourself with the courses you may be teaching, such as Introduction to Data Analytics or Supervised Machine Learning. Be ready to discuss your approach to these subjects and any innovative tools or techniques you would use to enhance learning.
