Specialist Technician (Learning and Teaching): Analytics and Forecasting

The opportunity

This is an exciting opportunity for an Analytics and Forecasting software specialist to join a leading college in fashion education and play a key role providing technical assistance to students and staff to support the day-to-day operation of our excellent teaching and learning facilities.    

You will be working predominantly from home supporting students online and working with the course leader and academic team for the MSc Fashion Analytics & Forecasting course. This MSc is currently the first Master's programme in the world to apply data analytics and forecasting in the context of fashion business.    

Reporting to the Technical Coordinator, you will be part of a specialist technical team responsible for delivering technical workshops and software support to students and staff online and in-person.   

You will provide professional expertise, guidance and advice to students and staff working with analytics and forecasting software and contribute to the delivery of academic activities within the College. Such tools currently include Qualtrics, R Studio, IBM SPSS Statistics, Microsoft’s SQL Server, Microsoft Power BI, and Adobe In-Design.  The list is regularly reviewed with industry partners to ensure currency.   

In addition, you will also provide support for student learning through informal and formal training and instruction. A key part of the role will be to contribute critical input to student concept and expressive/creative intention, including giving feedback to students and contributing to student formative assessments.   

The start date for this position is 01 August 2023 onwards.

About you

You will need a high level of multi-platform, multi device digital literacy, with demonstrable contemporary and forward-thinking expertise in data visualisation, machine learning, time series analysis and forecasting, quantitative methods, and statistical data analysis.   

You will also need experience of delivering technical workshops and providing 1-2-1 support for analytics and forecasting software issues as well as experience of working in experience of working in data visualisation and machine learning. 

We are UAL

University of the Arts London is a vibrant world centre for innovation, drawing together six Colleges with international reputations in art, design, fashion, communication and performing arts. 

London College of Fashion is extremely proud to be a global leader in fashion education, research and consultancy. Much of its success is down to its dedicated employees, and you will play an important role in shaping future creative professionals, and impact on the future of so many creative industries.  

London College of Fashion, UAL is undertaking an unprecedented programme of change.  In 2023 we will be consolidating our existing six sites into a new purpose built campus as part of a new education and cultural district on the Queen Elizabeth Olympic Park.  Ahead of this move, we welcome applications from candidates who live in and around East London, as well as from those keen to join us on this exciting and unique opportunity in our College’s history.  

If you have any queries about this role, please contact the recruiting manager Matti Juutilainen on 07872 004159. 

If you have any queries about the application process or need any reasonable adjustments for your application, please contact  the Resourcing Team at vacancies@fashion.arts.ac.uk   phone: 020 7514 7409 / 07730 900321  

Our culture

UAL is committed to creating diverse and inclusive environments for all staff and students to work and learn – a university where we can be ourselves and reach our full potential. We offer a range of family friendly, inclusive employment policies, flexible working arrangements and Staff Support Networks. We welcome applicants from diverse backgrounds, including race, disability, age, sex, gender identity, sexual orientation, religion and belief, marriage and civil partnership, pregnancy and maternity, and caring responsibility.

Apply

Candidates are advised to submit applications early.

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