At a Glance
- Tasks: Design and deploy machine learning solutions to tackle real-world health challenges.
- Company: Join NICE, a leader in health and care decision-making.
- Benefits: Enjoy flexible working, generous leave, and an NHS pension.
- Other info: Be part of a diverse team with excellent career development opportunities.
- Why this job: Make a meaningful impact on health outcomes using cutting-edge technology.
- Qualifications: Master's degree or equivalent experience in data science or related fields.
The predicted salary is between 46000 - 52000 £ per year.
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.
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.
- 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.
- 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
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.
Artificial intelligence certification.
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: 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 dedicated to improving health and wellbeing through science and evidence-based decision-making. Our inclusive work culture fosters collaboration and innovation, offering flexible working arrangements, generous annual leave, and tailored development opportunities to support your career growth. Join us in a role that not only challenges you technically but also allows you to make a meaningful impact on health outcomes across the UK.
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 in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The National Institute for Health and Care Excellence (NICE)!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist / ML Engineer at The National Institute for Health and Care Excellence (NICE).
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The National Institute for Health and Care Excellence (NICE).
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist / ML Engineer at The National Institute for Health and Care Excellence (NICE), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist / ML Engineer in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The National Institute for Health and Care Excellence (NICE), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The National Institute for Health and Care Excellence (NICE). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The National Institute for Health and Care Excellence (NICE)
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The National Institute for Health and Care Excellence (NICE)!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
