Lecturer in Business Data Analytics in Reading

Lecturer in Business Data Analytics in Reading

Reading Full-Time 58225 - 58225 £ / year (est.) Home office (partial)
E

At a Glance

  • Tasks: Conduct research and teach data analytics and AI in a dynamic academic environment.
  • Company: Join Henley Business School, a leader in digitalisation and entrepreneurship.
  • Benefits: Competitive salary, opportunities for research funding, and professional development.
  • Other info: Engage in a vibrant community with excellent career growth and academic citizenship.
  • Why this job: Shape the future of business education while making a real impact in data analytics.
  • Qualifications: Experience in data analytics, teaching, and research in information systems.

The predicted salary is between 58225 - 58225 £ per year.

Contractual hours: 35

Job category/type: Academic and Research

We are seeking to appoint a Lecturer in Business Data Analytics who will contribute to strengthening our research and teaching portfolio in data analytics and AI. You will be involved in research and teaching in the broad area of information systems with a focus on data analytics and AI with associated responsibilities in administration. You will contribute to the advancement of research, teaching and training provision in digital and AI, which is part of the strategic direction at Henley Business School in the Department of Digitalisation, Marketing and Entrepreneurship (DME). You will contribute to scholarship, teaching and administration, commensurate with the post of Lecturer.

Responsibilities:

  • Conduct independent research in the area of data analytics and AI, in the context of information management and information systems at a business school;
  • Teach a range of modules in the broad area of information systems, from undergraduate, pre-experience and post-experience master’s programmes to executive education programmes as agreed by the Head of DME;
  • Take on administrative duties and academic citizenship activities as well as academic leadership roles as appropriate.

Research will involve the planning and conduct of individual and collaborative research projects expected to lead to the regular publication that are world-leading or internationally excellent in terms of originality, significance, and rigour. Preparation of research proposals and funding applications appropriate to the field and level will also be expected, as well as developing evidence to demonstrate the impact of research. It is expected that the research will actively contribute to the research agenda of IRC, Henley’s World of Work Institute, and other relevant centres and groups both internally and externally, e.g., the Thames Valley AI Hub.

You will be involved in teaching in a wide range of programmes, including undergraduate and postgraduate programmes in digital business and data analytics as well as general business and management, which will involve lectures, seminars, tutorials, project/dissertation supervision at all levels, together with appropriate assessment and feedback. Providing students with an effective learning experience is expected, by fully engaging with their teaching/learning and seek to enhance their practice, building on examples of good practice from a range of sources. For those with appropriate experience and expertise, there will be opportunities for teaching in Executive Education programmes.

Administration will include management of teaching provision, academic tutoring, module convening and may include other roles within the Department, School and University, along with business engagement and programme outreach activities as appropriate. All members of staff at Henley Business School are expected to demonstrate academic citizenship, which includes collegiality and taking active part in contributing to School and University activities such as Open Days.

£47,389 to £58,225 per annum. Grade 7

Lecturer in Business Data Analytics in Reading employer: Economicsnetwork

Henley Business School is an exceptional employer, offering a vibrant academic environment that fosters innovation and collaboration in the fields of data analytics and AI. With a strong commitment to research excellence and teaching quality, employees benefit from professional development opportunities, a supportive work culture, and the chance to engage with industry leaders through initiatives like the Thames Valley AI Hub. Located in a dynamic educational setting, Henley provides a platform for meaningful contributions to both academia and the business community.

E

Contact Details:

Economicsnetwork Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lecturer in Business Data Analytics in Reading

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Economicsnetwork!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lecturer in Business Data Analytics at Economicsnetwork.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Economicsnetwork.

Apply Directly through Our Website

When you find a suitable opening like Lecturer in Business Data Analytics at Economicsnetwork, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lecturer in Business Data Analytics in Reading

Research Skills
Data Analytics
Artificial Intelligence (AI)
Information Systems Knowledge
Teaching Skills
Curriculum Development
Academic Leadership

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 Economicsnetwork, 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 Economicsnetwork. 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 Economicsnetwork

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 Economicsnetwork!

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.