Data Scientist (ML Engineer)

Data Scientist (ML Engineer)

Location: Manchester

Salary: £49,387 to £56,515 per annum

Vacancy Type: Permanent, Full Time

The closing date is 18 June 2026

Job 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.

Main duties of the job

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.