At a Glance
- Tasks: Design and deploy machine learning solutions to tackle real-world health challenges.
- Company: Join NICE, a leading organisation dedicated to improving health and wellbeing.
- Benefits: Competitive salary, full-time role, and the chance to make a real impact.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Be part of a mission-driven team that uses data to improve lives.
- Qualifications: Experience in data science and machine learning is essential.
The predicted salary is between 49387 - 56515 £ per year.
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!
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.
Data Scientist (ML Engineer) employer: The National Institute for Health and Care Excellence (NICE)
At The National Institute for Health and Care Excellence (NICE), we pride ourselves on being an exceptional employer that fosters a collaborative and empowering work culture. Located in Manchester, we offer competitive salaries and a commitment to employee growth through continuous learning opportunities, all while making a meaningful impact on health and wellbeing in society. Join us to be part of a team that values innovation and the responsible use of technology in healthcare.
Contact Details:
The National Institute for Health and Care Excellence (NICE) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (ML Engineer)
✨Tip Number 1
Network like a pro! Reach out to professionals in the health and care sector, especially those working with data science and machine learning. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any relevant data analysis work. This is your chance to demonstrate how you can make a difference at NICE, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data science and machine learning, and be ready to discuss how your work can contribute to improving health and wellbeing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. So, get that application in before the closing date!
We think you need these skills to ace Data Scientist (ML Engineer)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist (ML Engineer) role. Highlight relevant experience and skills that align with the job description, especially in machine learning and data analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about improving health and wellbeing through data science. Show us how your values align with NICE's mission.
Showcase Your Projects:If you've worked on any projects related to machine learning or data analysis, be sure to mention them. We love seeing practical examples of your work and how you've tackled real-world challenges.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at The National Institute for Health and Care Excellence (NICE)
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in real-world scenarios, especially in health and care contexts. This shows you not only understand the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help interviewers see your analytical thinking and practical application of ML techniques.
✨Understand NICE's Mission
Familiarise yourself with NICE's goals and how they use data science to improve health outcomes. Being able to articulate how your skills align with their mission will demonstrate your genuine interest in the role and organisation.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and the impact of your work as a Data Scientist. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you. Remember, interviews are a two-way street!
