Lecturer in Data Science

Lecturer in Data Science

Bath Full-Time 36000 - 60000 £ / year (est.) No home office possible
U

At a Glance

  • Tasks: Teach and inspire students in Data Science through engaging lectures and hands-on projects.
  • Company: Join UWE Bristol, a vibrant university with a focus on innovation and research in computing.
  • Benefits: Enjoy flexible working hours, professional development opportunities, and a supportive academic community.
  • Why this job: Be part of a dynamic team shaping the future of tech education and making a real impact.
  • Qualifications: A strong background in Data Science and teaching experience is preferred.
  • Other info: This role offers a chance to work with cutting-edge technology and diverse student groups.

The predicted salary is between 36000 - 60000 £ per year.

The School of Computing and Creative Technologies at UWE Bristol is rapidly expanding, with around 130 academic staff and over 2,500 undergraduate and postgraduate students. Our state-of-the-art programmes cover a wide range of computing disciplines, and we also support a growing and successful body of research.

We currently offer an MSc in Data Science, delivered both on campus and online.

Lecturer in Data Science employer: University of the West of England

UWE Bristol is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among its diverse academic staff. With ample opportunities for professional development and research engagement, lecturers in Data Science can thrive in a supportive environment while contributing to cutting-edge programmes. Located in the dynamic city of Bristol, employees benefit from a rich cultural scene and a strong sense of community, making it an ideal place for meaningful and rewarding employment.
U

Contact Detail:

University of the West of England Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lecturer in Data Science

✨Tip Number 1

Familiarise yourself with the latest trends and technologies in Data Science. Attend webinars, workshops, or conferences related to the field to not only enhance your knowledge but also to network with professionals who might provide insights or connections that could help you land the job.

✨Tip Number 2

Engage with the academic community at UWE Bristol by following their research outputs and publications. This will give you a better understanding of their focus areas and allow you to tailor your discussions during interviews to align with their current projects and goals.

✨Tip Number 3

Prepare to showcase your teaching philosophy and methods. Think about how you would approach teaching complex Data Science concepts to students with varying levels of understanding, and be ready to discuss specific examples during your interview.

✨Tip Number 4

Connect with current staff or alumni from the School of Computing and Creative Technologies on platforms like LinkedIn. Engaging in conversations with them can provide valuable insights into the culture of the department and what they look for in candidates.

We think you need these skills to ace Lecturer in Data Science

Expertise in Data Science
Proficiency in Programming Languages (e.g., Python, R)
Experience with Data Analysis Tools (e.g., SQL, Tableau)
Knowledge of Machine Learning Algorithms
Strong Communication Skills
Ability to Develop and Deliver Engaging Lectures
Research Skills in Data Science
Familiarity with Statistical Methods
Experience in Curriculum Development
Ability to Supervise Student Projects
Collaboration and Teamwork Skills
Adaptability to New Technologies
Commitment to Continuous Professional Development

Some tips for your application 🫡

Understand the Role: Familiarise yourself with the specific requirements and responsibilities of the Lecturer in Data Science position. Highlight your relevant experience and how it aligns with the role.

Tailor Your CV: Customise your CV to emphasise your teaching experience, research contributions, and any industry collaborations related to data science. Make sure to include specific examples that demonstrate your expertise.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for teaching and research in data science. Mention why you are interested in UWE Bristol and how you can contribute to their academic community.

Proofread and Edit: Before submitting your application, thoroughly proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at University of the West of England

✨Showcase Your Teaching Philosophy

Be prepared to discuss your approach to teaching and how you engage students in the learning process. Highlight any innovative methods you've used in the past, especially in data science.

✨Demonstrate Your Research Experience

Since the role involves a successful body of research, be ready to talk about your previous research projects. Discuss how your work aligns with the current trends in data science and how it can contribute to the department.

✨Familiarise Yourself with the Curriculum

Take some time to review the MSc in Data Science curriculum offered at UWE Bristol. Be prepared to discuss how you can enhance the programme and what unique perspectives you can bring to the table.

✨Prepare for Questions on Collaboration

Collaboration is key in academia. Think about examples where you've worked with colleagues or industry partners. Be ready to explain how you can contribute to the collaborative environment at the School of Computing and Creative Technologies.

Lecturer in Data Science
University of the West of England
U
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