Lecturer in Data Analytics

About the vacancy:
The School of Computing and Creative Technologies is a rapidly expanding School offering high quality undergraduate and postgraduate programmes which include Mathematics, Data Science, Business Computing and Financial Technology.

We also support a growing and successful body of research in applied statistics and data science. The School has about 130 academic staff and over 2,500 undergraduate and postgraduate students.

About you:
Candidates will have either a PhD in Statistics or a closely related discipline, or else equivalent professional experience.

Expertise in statistical modelling, applications, programming (R, Python), quantitative research methods and data analytics is essential.  The successful candidate will be expected to apply their knowledge within a data science setting, for example machine learning, and be able to adapt their teaching style to provide a supportive and inclusive learning experience for our students.

You will be capable of high-quality research in a field of applied statistics leading to journal and conference publications. Awareness of research funding opportunities and a successful track record of research collaboration is essential.

This post is based at our lively Frenchay campus where we have invested in the latest facilities and resources to give both our staff and students access to everything they need to succeed.

Why UWE Bristol?
We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe. Based in Bristol, one of the UK’s most exciting and forward-thinking cities, we are regionally embedded and globally connected, with an established network of employer and academic partners.

We offer a wide range of employee benefits including progressive pay rates, generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training and personal development.

Add your individuality to ours
We particularly encourage applications from Black, Asian or racially minoritised and female candidates as we are currently under-represented in this area of the organisation, however all appointments are made strictly on individual merit.

As a Disability Confident employer, we welcome applications from those who identify as having a disability.

Further information
If you would like an informal discussion about this opportunity, please contact Emily Walsh (emily3.walsh@uwe.ac.uk) or Rachel Long (rachel.long@uwe.ac.uk).

UWE Bristol is a campus-based University, and it is important for our success and the delivery of an outstanding experience for our students that our campuses are dynamic and vibrant places to learn and spend time. This role is therefore campus based for all your teaching, although there is the opportunity for remote working might be possible for some research or administrative activities

We can sponsor qualifying candidates for this role under the Home Office Skilled Worker visa route. Please read our Skilled Worker Guidance to assess if you will be eligible to be sponsored under the criteria.

Please also refer to the Home Office Right to Work Checklist which provides details of which documents are acceptable to prove your right to work in the UK. Should you be shortlisted you will be asked to produce your right to work documents at your interview.

Please note that UWE does not cover any visa or health surcharge costs.

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