Assistant Professor in Actuarial Data Science (T&R)

Scholarshipdb
Edinburgh
2 months ago
Applications closed

Related Jobs

View all jobs

University Assistant Professor in Machine Learning

Assistant Professor (Teaching Focussed) in Data Engineering & Applied Analytics (110986-0226)

Assistant Professor (Teaching Focussed) in Data Engineering & Applied Analytics (110986-0226)

Teaching-Focused Assistant Professor: Data Engineering & Analytics

Assistant and Associate Professor positions in Statistics and Machine Learning at Warwick

Teaching‑Focused Data Engineering & Applied Analytics

Assistant Professor in Actuarial Data Science (T&R)

Detailed Description


The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching in actuarial science and statistics by appointing an Assistant Professor in Actuarial Data Science, or a related actuarial statistics area. This is an open-ended position.


Applicants are invited from all areas of actuarial data science. Those working in statistical learning, actuarial statistics or relevant areas are particularly welcome to apply. Candidates who would like to work with the University’s multi-disciplinary Global Research Institutes in the areas of either climate change and sustainability, or healthcare are also welcomed.


Key Duties and Responsibilities



  • Lead, carry out and publish internationally excellent research in actuarial data science, actuarial statistics or a related field;
  • Apply for research funding through either the submission of high-quality grant proposals or funding from industry, with the goal of building a research group;
  • Undertake knowledge exchange activities to promote and disseminate your research;
  • Carry out such administrative and recruitment activities as may be required to achieve these aims;
  • Develop and deliver innovative teaching in statistics, actuarial science and related fields at undergraduate and postgraduate level;
  • Be responsible to the Head of Department for performing the activities listed above in a way that will maintain and enhance the School’s reputation for excellence.

The successful candidate will be based at our Edinburgh campus in the UK.


Education, Qualifications and Experience



  • E1. PhD in Actuarial Science, Statistics, or a related field.
  • E2. Track‑record of high-quality research in the areas of actuarial data science with internationally excellent publications.
  • E3. Demonstrable teaching experience related to courses in the Department, as well as skills to supervise undergraduate and postgraduate dissertations.
  • E4. Excellent interpersonal and teamwork skills.
  • E5. Potential, ambition and plans to obtain research funding.
  • E6. Ability to supervise successfully PhD students.

For all criteria, further details and how to apply click the 'Apply' button


Heriot-Watt University is committed to securing equality of opportunity in employment and to the creation of an environment in which individuals are selected, trained, promoted, appraised and otherwise treated on the sole basis of their relevant merits and abilities. Equality and diversity are all about maximising potential and creating a culture of inclusion for all.


Heriot-Watt University values diversity across our university community and welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ .


#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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.