Data Scientist (ML Engineer) | NICE - The National Institute for Health and Care Excellence
| Posting date: | 31 May 2026 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | £49,387 - £56,515 per annum |
| Hours: | Full time |
| Closing date: | 01 July 2026 |
| Location: | Manchester, M1 3BN |
| Company: | NICE - National Institute for Health and Care Excellence |
| Job type: | Permanent |
| Job reference: | 8044336/907-883 |
Summary
Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making.
As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things!
Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility.
We reserve the right to close the advert early should we receive sufficient applications, so please don’t delay your submission.
We’re looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you’ll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You’ll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight.
What you’ll do and bring to the role
• Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production.
• Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities.
• Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI.
• Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions.
• Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches.
• Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues.
The Architecture & Data team sits at the heart of NICE’s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes.
We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment.
We are passionate and proud of the work we do and the impact we make. NICE offer:
• Generous NHS Pension – Secure your future with one of the most rewarding pension schemes in the UK
• Flexible working – Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times
• Exclusive discounts – Save on shopping, dining and more with a Blue Light Card
Time to recharge – Start with 27 days’ annual leave plus bank holidays
• Inclusive staff networks – Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud – we celebrate diversity
• Tailored development – Grow your career with personalised learning and development opportunities
If you feel this is the type of environment you will enjoy working in, apply today!
To be considered for this role, you should be able to particularly demonstrate the person specification criteria in the job advert in your application. However, applicants should be able to demonstrate all essential criteria through the entirety of the recruitment process to be considered for the job. Please see job description attached for full list of responsibilities.
As part of our commitment to colleagues at risk of redundancy, all redeployment applications are reviewed before external ones.
This advert closes on Thursday 18 Jun 2026