Teaching Assistant in Marketing & Analytics

Teaching Assistant in Marketing & Analytics

Ref Number B04-07384 Professional Expertise Teaching, Teaching Support and Examination Support Department UCL BEAMS (B04) Location London Working Pattern Part time Salary See advert text Contract Type Fixed-term Working Type On site Available for Secondment No Closing Date 21-May-2026

About us

The UCL School of Management is home to UCL's business and management research and education programmes. The School has forged a reputation for world-leading research and teaching in the areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship.

The research undertaken at the UCL School of Management has been rated as 'world-leading' and 'internationally excellent' in the Research Excellence Framework 2021 (REF), placing us 2nd in the UK for Business and Management.

The School is home to over 2,000 students, with more than 55% from outside the UK. The School's faculty members also come from all over the world, with PhDs from Harvard, MIT, Stanford, Columbia, UCLA, Northwestern, Cornell, Duke, Cambridge, and London Business School, among others.

The UCL School of Management takes full advantage of being part of a world-leading university through its interdisciplinary outlook and builds on close collaborations in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics, and medical sciences.

Further information about the School can be found here.

About the role

Teaching Assistants (TAs) will supplement academic lectures through the delivery of group teaching (for example, in seminars and workshops) and associated duties for students taking modules in the School of Management. Associated duties may include marking of coursework and exams.

The post holder will report to the leader of the module (s) they support, and the appointment will be available from 21 st September 2026 to 30 June 2027.

Salary is £21.68 per hour plus an additional market supplement of £12.54 per hour, making a total of £34.52 per hour (please note, marking is paid at different rates depending on the type of marking and length of scripts).

This role does not meet the eligibility requirements for a Skilled Worker Visa certificate of sponsorship under UK Visas and Immigration legislation. Therefore, UCL will not be able to sponsor individuals who require the right to work in the UK to carry out this role.

A job description and person specification can be accessed at the bottom of this page. If you have any queries about the role, please contact .

If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact .

About you

The ideal candidate will be educated to Master's level, or hold equivalent or professional qualifications and experience, in a management-related field relevant to the course modules of interest. They will demonstrate a basic understanding of machine learning and artificial intelligence concepts, including their application within marketing analytics, alongside knowledge of causal inference methods and an appreciation of their importance in analytics and data-driven decision-making processes.

They will also demonstrate the ability to communicate clearly and effectively, both verbally and in writing, with accurate grammar, spelling and punctuation, enabling them to engage confidently with students as well as academic and administrative staff at all levels. The successful candidate will have proficiency in Python, R and other programming languages, as well as experience using tools such as Power BI and a range of AI technologies. Strong organisational and time management skills are essential, supported by a keen attention to detail. In addition, they will show a clear commitment to supporting students through the provision of dedicated office hours for coursework support and academic guidance.

Please see the attached job description and person specification for full details. Please also read the attached Candidate Guidance document. When completing your supporting statement, please tell us, using examples, how you meet the essential criteria listed in the job description.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:

Our commitment to Equality, Diversity and Inclusion

As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.

These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and, for our Grade 9 and 10 roles, women.

You can read more about our commitment to Equality, Diversity, and Inclusion here.

Attached documents are available under links. Clicking a document link will initialize its download.