Lectureships/Readerships in Statistics and Data Science

The International Society for Bayesian Analysis
Edinburgh
6 months ago
Create job alert

Lectureships/Readerships in Statistics and Data Science

http://www.maths.ed.ac.uk/school-of-mathematics/jobs/lectureships-readerships-in-statistics-and-data-sc

Continuing an ambitious long-term plan, which includes expansion into part of the new £40M Bayes Centre, the School of Mathematics is making a number of permanent appointments in the Mathematical Sciences.

We are recruiting candidates with a track record of high quality research and teaching in Statistics and Data Science to start on 1 August 2018 or by agreement. The successful applicants will contribute to the growing reputation of the University as an international hub for Statistics and will join the recently established University-wide Centre for Statistics. They will interact with colleagues in the Bayes Centre, a new interdisciplinary Data Science Institute within the University, as well as the Maxwell Institute, a longstanding research partnership between the University of Edinburgh and Heriot-Watt University. They will also have opportunities to be actively involved with the Alan Turing Institute, a UK wide initiative in Data Science.

All applications must be submitted online and include a full CV, a research statement and a teaching statement. We also require details of four referees, three to comment on your research and one on your teaching.

Salary Scale: £39,992 – £47,722 per annum. Very strong and experienced applicants may be appointed to a Readership, for which the salary is £50,618 – £56,950 per annum.

Applications close at 5pm (UK time) on 3rd January 2018.

Informal enquiries may be made to Professor Ruth King (Thomas Bayes’ Chair of Statistics) .

The University of Edinburgh promotes equality and diversity. We strive for a family-friendly School of Mathematics; hold a Bronze Athena SWAN award and support the London Mathematical Society Good Practice Scheme.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.