Graduate Teaching Associate Data Science
Location: High Wycombe, England, United Kingdom
- Contract
- Expired
- Competitive
Buckinghamshire New University is an ambitious, modern university that is always open to fresh ideas and thinking. We believe in the transformative power of education, and in doing the right thing by our students, people and local community. That’s why our BNU community is a special place to work and study, and where people who want to make a difference can contribute and succeed.
Our University’s DRIVE values are at the heart of all that we do. We are united in being dynamic, responsible, inclusive, visionary and empowering to ensure that we provide the best experience to our learners and offer excellent service to our partners and to each other as colleagues. Our commitment to these values is unwavering and they are central to our mission. We encourage applications from all backgrounds, communities and industries and we are happy to discuss any reasonable adjustments that you require.
We are currently looking for a Graduate Teaching Associate in Data Science. You will be situated in the School of Creative and Digital Industries. The purpose of the role is to support teaching and learning through the delivery of modules in conjunction with the Course Leader. Typical duties include:
- Tutorial class teaching
- Personal tutorial support
- Provision of feedback to students
- Coursework assessment and examination marking
As a Graduate Teaching Associate you will work toward a fee waived PhD within the school in an area of your choosing. After successful completion of the PhD you will automatically be promoted to Lecturer in the school.
You will have a mix of skills and competencies relevant to the following areas:
- Data science, statistics, and analysis
- Code, manipulate, engineer, model and analyse data
- Statistics & Math: understanding data, building models, and data prediction
- Programming: utilise programming languages for data manipulation and analysis
- Machine Learning & AI: data processing frameworks
- Databases: Data analysis/Mining/Warehousing
- Manipulating data, visualising data, and reporting on data
- Data communication: storytelling, communication, and ethics
What we offer:
- Hybrid working (dependant on business needs)
- Contributory pension scheme
- Discounted gym membership for our on-site gym
- A range of staff discounts with major retailers
If you have the qualities and attributes representative of the University’s values and ambition, we would be delighted to hear from you.
All applications are to be made in full and online.
BNU is proud to have a diverse community and a strong track record of diversity, equity and inclusion. Our aim is to continue to build an environment where everyone thrives and can be themselves. We therefore ensure that our interview/shortlisting Chairs complete the relevant e-learning and/or inclusive recruitment training.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in BNU’s workforce. These include people from global majority backgrounds, disabled people, and LGBTQI+ people, particularly in more senior roles.
Interview Date:
If you are successful in securing an interview for the role, you will be required to provide proof of eligibility to work in the UK.
#J-18808-Ljbffr
