At a Glance
- Tasks: Deliver high-quality teaching and shape future data-focused programmes.
- Company: Join the innovative team at the University of Chester.
- Benefits: Support for professional development and a collaborative work environment.
- Other info: We value diversity and inclusivity in our department.
- Why this job: Make a real impact on students' lives and engage in exciting interdisciplinary projects.
- Qualifications: Higher degree in Data Science or related field, with teaching experience.
The predicted salary is between 45000 - 55000 £ per year.
We seek to appoint a Senior Lecturer in Data Science to join our dynamic team of academics and help shape the future of our computing and data‑focused programmes. We are particularly keen to hear from applicants with expertise in areas such as statistical learning, machine learning, data analytics, big data engineering, data visualisation or applied AI. Experience of working with real‑world datasets, industry, healthcare, business, or public‑sector partners would be especially welcome.
As a Senior Lecturer, you will bring your passion and experience to deliver high‑quality teaching at both undergraduate and postgraduate levels. You will play a key role in ensuring that our curriculum remains current, research‑informed, and aligned with the needs of employers and future data professionals. You will also contribute to the broader academic work of the School of Computer and Engineering Sciences, including curriculum development, research, supervision, and knowledge exchange. There are exciting opportunities to engage in interdisciplinary collaborations, outreach, and external engagement activities.
The ideal candidate will hold a relevant higher degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a closely related discipline, have teaching experience, and be skilled in designing innovative learning experiences. If you do not already hold one, we will support you in working towards a Postgraduate Certificate in Learning and Teaching in Higher Education or Fellowship of Advance HE (FHEA). We are looking for a collaborative and forward‑thinking individual who is passionate about supporting students and confident in using modern teaching approaches, including blended and online learning. If you are eager to make a difference in the lives of our students and to be part of an ambitious and innovative team at the University of Chester, we would love to hear from you.
We strongly encourage applications from women and individuals from diverse backgrounds, as we are committed to promoting inclusivity in our department. All appointments will be made based on merit.
For informal enquiries, please contact Professor Silvester Czanner, Head of the School of Computer and Engineering Sciences, at s.czanner@chester.ac.uk.
Senior Lecturer in Data Science in Liverpool employer: University of Chester
The University of Chester is an excellent employer for those seeking a meaningful career in academia, particularly in the field of Data Science. With a strong commitment to inclusivity and professional development, we offer opportunities for collaborative research, innovative teaching practices, and support for further qualifications such as the Postgraduate Certificate in Learning and Teaching in Higher Education. Our vibrant work culture fosters engagement with industry and community partners, ensuring that our curriculum remains relevant and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lecturer in Data Science in Liverpool
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We think you need these skills to ace Senior Lecturer in Data Science in Liverpool
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at University of Chester, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at University of Chester. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at University of Chester
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at University of Chester!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
