At a Glance
- Tasks: Design and deploy machine learning solutions to tackle real-world health challenges.
- Company: Join NICE, a leading organisation improving health and wellbeing through science.
- Benefits: Enjoy flexible working, generous leave, and an NHS pension.
- Other info: Be part of a supportive, inclusive team driving digital transformation in healthcare.
- Why this job: Make a genuine difference in society while advancing your career in data science.
- Qualifications: Master's degree or equivalent experience in data science and machine learning.
Location: Manchester
Salary: £49,387 to £56,515 per annum
Vacancy Type: Permanent, Full Time
The closing date is 18 June 2026
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!
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.
About us
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.
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
Person Specification
- Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development.
- Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically.
- Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products.
- Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making.
- Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non-technical audiences and working effectively within multidisciplinary teams.
Desirable
- Artificial intelligence certification.
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
To Apply
If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.
Data Scientist (ML Engineer) in Manchester employer: NICE
At The National Institute for Health and Care Excellence (NICE), we pride ourselves on being an exceptional employer, offering a supportive and inclusive work environment in Manchester. Our commitment to employee growth is reflected in our tailored development opportunities, flexible working arrangements, and generous benefits, including a robust NHS pension and 27 days of annual leave. Join us to make a meaningful impact on health and care decision-making while collaborating with passionate professionals dedicated to improving society.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (ML Engineer) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at NICE or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning concepts and real-world applications. Be ready to discuss how you've tackled complex data challenges in the past.
✨Tip Number 3
Show off your collaborative spirit! During interviews, highlight examples of how you've worked with cross-functional teams to deliver impactful solutions. Teamwork is key at NICE!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the NICE team!
We think you need these skills to ace Data Scientist (ML Engineer) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist (ML Engineer) role. Highlight your experience with machine learning, data engineering, and any relevant projects that showcase your skills. We want to see how you can contribute to NICE's mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about using data for health and care decision-making. Share specific examples of how you've applied your skills in real-world scenarios, and let us know why you want to join our team.
Showcase Your Technical Skills:Don't hold back on showcasing your technical expertise! Include details about the programming languages and tools you're proficient in, as well as any machine learning models you've built. We love seeing candidates who can clearly communicate their technical capabilities.
Apply Through Our Website:Remember to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you'll find all the information you need about the role and our organisation there. Don’t miss out on this opportunity!
How to prepare for a job interview at NICE
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning techniques and algorithms. Be ready to discuss how you've designed, built, and deployed models in the past. They’ll want to see your hands-on experience, so prepare some examples that showcase your skills.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. Think about how you can present your analytical outputs clearly, as this will be crucial for collaboration and decision-making.
✨Show Your Ethical Side
NICE values ethical awareness and responsible AI use. Be prepared to discuss how you ensure data governance, privacy, and security in your work. Share any experiences where you’ve championed ethical practices in your projects.
✨Collaborate Like a Pro
Highlight your teamwork skills during the interview. They’re looking for someone who can work closely with data scientists and engineers. Think of examples where you’ve successfully collaborated on projects and how you translated business needs into effective solutions.
