Eine zielgenaue Bewerbung für diesen Job — ein maßgeschneiderter Lebenslauf und ein Anschreiben, die genau zur Stellenanzeige passen.
Note: The candidate must have the right to work in Berlin/Europe. There will be no visa sponsorship available at this time.
Forward College is a pan-European Higher Education Institution (Lisbon, Paris, Berlin) that promotes relational pedagogy (100% small group teaching and 1:1 tutoring). As an academic partner of the University of London (LSE and King’s College), we teach Bachelor’s academic degrees to bright students who wish to achieve academic excellence, but also nurture other forms of intelligence (social, emotional, and practical). As a degree-awarding institution, Forward College also offers its own program, the Open Bachelor (See here: https://forward-college.eu/overview/open-bachelors/)
Our teaching approach is based on a relational approach (see more here: https://forward-college.eu/learning-forward/):
We are seeking an academic or experienced professional to teach the course in Business analytics, applied modelling and prediction (https://www.lse.ac.uk/study-at-lse/uolip/Assets/documents/ST2187-Business-analytics-applied-modelling-and-prediction.pdf) whose curriculum is defined by the London School of Economics.
This course is term-long and consists of 22 seminar sessions (lasting 2 hours each) with 1 group of Year 3 students coming from many different countries.
Additional teaching will be available in subsequent academic years to provide for growing student numbers.
You should have a passion for teaching and engaging students, be curious about new ways of teaching, have excellent interpersonal skills, and have the ability to interact well with the international student body and staff.
You will also have demonstrated expertise/experience in marketing, experience in teaching in similar contexts, and an excellent level of English.
May 30th. 2026
Forward College values social, cultural, ethnic, and gender diversity. Where qualifications and personal abilities are deemed equivalent, preference will be given to candidates from underrepresented groups.