Communications and Engagement Manager (Bennett Institute for Applied Data Science)

University of Oxford
Oxford
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Lecturer in Machine Learning for Engineering

Senior Data Engineer

Voice & Data Analyst

Data Science & Machine Learning - Senior Associate - Asset Management

Communications and Engagement Manager (Bennett Institute for Applied Data Science)

Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford


Led by Professor Ben Goldacre, The Bennett Institute builds tools that transform NHS data into better patient care. Our OpenSAFELY platform revolutionised pandemic research. Our OpenPrescribing tool helps 20,000 NHS professionals monthly. We are open source, multidisciplinary, rigorous, transparent, and unafraid to challenge conventional thinking.


Based within the Nuffield Department of Primary Care Health Sciences – one of the world's leading academic primary care centres – you will work at the intersection of data science, healthcare innovation and public engagement. You will join our established communications team while having real influence over Bennett Institute strategy.


This is a three‑year fixed‑term contract in the first instance.


What you will do

  • Transform complex data science into stories that build public trust.
  • Coordinate our Critical Friend Network, ensuring diverse communities shape how NHS data serves them.
  • Create content for everyone from GPs to government ministers.
  • Plan meaningful public engagement that invites real participation.
  • Make our methods as open as our code—explaining complex processes in plain English.

You bring

  • Proven public engagement experience with demonstrable impact.
  • Exceptional writing that makes complexity accessible.
  • Diplomatic skills to influence senior stakeholders.
  • Professional social media and CMS experience.
  • Health sector experience helps, but is not essential.

We offer

  • Real influence over nationally important work.
  • Flexible hybrid working from our Oxford base.
  • 38 days' leave (pro‑ra), plus generous pension and benefits.
  • A team that values doing as much as thinking.
  • Professional development in world‑class research environment.

The department holds a Gold Athena SWAN award and actively champions diversity.


Applications for this vacancy are to be made online and you will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Please do not attach any manuscripts, papers, transcripts, mark sheets or certificates as these will not be considered as part of your application.


Closing date for applications: 12:00 noon on Friday 12 December 2025.


Interviews are expected to be held during the week commencing 12 January 2026.


Contact Person: HR Team
Vacancy ID: 182139
Contact Email:
Pay Scale: STANDARD GRADE 7
Salary (£): 39,424 - 47,779 per annum with a discretionary range to £51,983 per annum (pro‑ra)


#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.

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.

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.

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.