At a Glance
- Tasks: Design and implement semantic data models and knowledge graphs to enhance digital services.
- Company: Join NICE, a leading organisation improving health and wellbeing through evidence-based decision-making.
- Benefits: Enjoy flexible working, 27 days annual leave, and a top pension scheme.
- Other info: Be part of a passionate team driving digital transformation in healthcare.
- Why this job: Make a real impact on health outcomes while working with cutting-edge technologies.
- Qualifications: Experience in semantic web technologies and strong communication skills.
The predicted salary is between 46000 - 52000 £ per year.
The National Institute for Health and Care Excellence (NICE) is looking for a Knowledge Graph and Ontology Specialist to play a leading role in designing and delivering semantic data models, ontologies, and knowledge graphs that underpin NICE’s digital products and information services.
Working closely with multidisciplinary teams, the role focuses on improving how information is structured, linked, discovered, and reused—supporting intelligent search, interoperability, and future‑ready digital services for both internal and external users.
What you will do / bring to the role:
- Lead the design, development and implementation of ontologies, taxonomies, metadata schemas and knowledge graphs, embedding them into NICE systems and services.
- Develop semantic search and retrieval capabilities, helping users find information more effectively across NICE digital platforms.
- Provide advice on semantic technologies, information modelling, interoperability, and data integration.
- Promote structured, interoperable information and influence stakeholders across programmes.
- Collaborate with architects, engineers, analysts and partners to shape semantic solutions and roadmaps.
- Apply strong expertise in semantic web technologies and standards (such as RDF, OWL, SPARQL and SHACL) alongside knowledge of graph databases and data integration practices.
- Communicate complex technical concepts clearly and confidently to a wide range of technical and non‑technical stakeholders, influencing decisions and driving adoption.
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.
NICE offers:
- 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.
- 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.
- Tailored development. Grow your career with personalised learning and development opportunities.
This advert closes on Thursday 11 Jun 2026.
Knowledge Graph and Ontology Specialist in Manchester employer: Career Choices Dewis Gyrfa Ltd
At NICE, we are dedicated to improving health and wellbeing through evidence-based decision-making, making us an exceptional employer for those seeking meaningful work. Our Manchester location offers a supportive work culture with flexible hours, generous annual leave, and a commitment to employee development through tailored learning opportunities. Join us in a collaborative environment where your expertise as a Knowledge Graph and Ontology Specialist will directly contribute to impactful digital services that enhance health outcomes.
Contact Details:
Career Choices Dewis Gyrfa Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Graph and Ontology Specialist 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 Career Choices Dewis Gyrfa Ltd!
✨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 Knowledge Graph and Ontology Specialist at Career Choices Dewis Gyrfa Ltd.
✨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 Career Choices Dewis Gyrfa Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Knowledge Graph and Ontology Specialist at Career Choices Dewis Gyrfa Ltd, 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 Knowledge Graph and Ontology Specialist 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 Career Choices Dewis Gyrfa Ltd, 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 Career Choices Dewis Gyrfa Ltd. 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 Career Choices Dewis Gyrfa Ltd
✨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 Career Choices Dewis Gyrfa Ltd!
✨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.