National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Analyst, Improvement Analytics Unit (IAU)

THE HEALTH FOUNDATION
London
3 days ago
Create job alert

Principal Data Analyst, Improvement Analytics Unit (IAU) Salary: Up to £65,778 per annum plus excellent benefits.
Contract: Permanent
Hours per week: 37.5 hours per week. You will be required to work in-person a minimum of two days per week in line with our hybrid working model.
Our Foundation We are an independent charitable organisation working to build a healthier UK. Health is our most precious asset. Good health enables us to live happy, fulfilling lives, fuels our prosperity, and helps build a stronger society. Yet good health remains out of reach for too many people in the UK, and services are struggling to provide access to timely, high-quality care.
It doesn't have to be like this. Our mission is to help build a healthier UK by:
Improving people's health and reducing inequalities
Supporting radical innovation and improvement in health and care services
Providing evidence and analysis to improve health and care policy
We aim for excellence across our work and will achieve this by producing research and analysis, shaping policy and practice, building skills, knowledge, and capacity, and acting as a catalyst for change. Everyone has a stake and a part to play in improving our health. By working together, we can build a healthier UK.
About the role As a Principal Data Analyst in the Improvement Analytics Unit (IAU), you will collaborate with Senior Analytical Managers and Assistant Directors to develop and deliver an ambitious programme of work evaluating major health initiatives. You will lead IAU projects, support team members, and build relationships with key stakeholders at both local and national levels.
You will manage multiple projects, identify, design, and take responsibility for the execution of new projects in collaboration with internal and external stakeholders. You will lead and mentor Senior Data Analysts and Data Analysts, supporting their professional development. You will ensure all analyses and reports are of the highest quality and effectively communicate findings to diverse audiences. You will also provide expert advice on causal analytical methods and study design, particularly relating to technology-enabled change.
How to apply Our priority is to find the right individual for each opportunity. We are dedicated to building an inclusive workplace that values diversity and invite you to find out more. You can find the job description for this role here . If you would like to apply, please submit your CV and answer the following application questions in no more than 900 words:
Describe a time when you managed multiple projects simultaneously. How did you prioritize tasks and ensure deadlines were met?
Give an example of how you have provided leadership and mentorship to a team of analysts to ensure high-quality analysis and reporting.
Provide an example of a project where you collaborated with both internal and external stakeholders. How did you ensure effective communication of research findings to diverse audiences, including policymakers and healthcare professionals?
Tell us about your experience using statistical methods, including any causal inference methods.
Our commitment to inclusion and diversity We are committed to an inclusive hiring process, where every candidate has the chance to showcase their skills and experience in an accessible and supported environment. We welcome applicants from all backgrounds and encourage those from underrepresented groups in this field to apply. Specifically, we aim to improve gender balance, increase representation of people from Black and ethnic minority backgrounds, and recruit more people with disabilities.
As part of this commitment, we particularly welcome applications from these groups. Apply to join our team and help us build a diverse and inclusive workplace. If you require support during this process, please contact . Help us make the recruitment process and potential employment more accessible and enjoyable for you.
Closing date: July 2, 23:00
Interview date: July 17 or July 22, 2025
Interviews will take place in person

#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Analyst - Improvement Analytics Unit (IAU)

Principal Data Analyst, Improvement Analytics Unit (IAU)

Principal Data Analyst

Principal Data Analyst

Principal Data Analyst

Data Science & Analytics Team Lead

National AI Awards 2025

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 to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.