Data Scientist (ML Engineer) | NICE - The National Institute for Health and Care Excellence
Employer: NICE – National Institute for Health and Care Excellence
Location: Manchester, M1 3BN
Contract type: Permanent
Hours: Full time
Disability Confident: No
Closing date: 01/07/2026
About this role
Our main purpose 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 part of 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.
Responsibilities
- 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.
Benefits
- Secure your future with one of the most rewarding pension schemes in the UK.
- Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times.
- Save on shopping, dining and more with a Blue Light Card.
- Start with 27 days’ annual leave plus bank holidays.
- Inclusive staff networks.
- Join supportive communities such as Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud.
- Tailored development.
- Grow your career with personalised learning and development opportunities.
To be considered for this role, you should be able to demonstrate the person specification criteria.
