At a Glance
- Tasks: Lead knowledge discovery and create structured models for AI and data teams.
- Company: Reputed client focused on knowledge discovery and semantic modelling.
- Benefits: Competitive rate of £600 per day, remote work with occasional travel.
- Other info: Exciting opportunity in a dynamic environment with a focus on innovation.
- Why this job: Make a tangible impact by turning messy data into clear structures.
- Qualifications: Strong data modelling experience and ability to work with stakeholders.
Contract: 6 months
Rate: £600 per day (Inside IR35)
Positions available: 2
Location: UK Remote (occasional stakeholder workshops/travel as required in London/Manchester)
Our Client is hiring for a reputed client to support a major programme focused on knowledge discovery, semantic modelling and enterprise knowledge graph development. If you enjoy turning messy, real-world understanding into clear structures that help AI and data teams move faster, this is a brilliant opportunity to make a tangible impact.
What you'll be doing:
- Lead knowledge discovery across the organisation - mapping how data, systems and business processes connect
- Facilitate structured stakeholder interviews and workshops to elicit and clarify business knowledge
- Extract implicit knowledge from SMEs, documentation and legacy systems
- Identify inconsistencies, duplication and gaps across multiple sources
- Define entities, attributes, relationships and cardinality - capturing business semantics accurately
- Translate unstructured knowledge into structured artefacts (models, diagrams and definitions)
- Build conceptual and logical data models for enterprise knowledge graph initiatives
- Support ontology and taxonomy models, and help uphold modelling standards and best practice
- Work with technical teams to enable knowledge graph development and knowledge-driven RAG pipelines
What you'll bring:
- Strong conceptual data modelling and logical data modelling experience
- Proven Entity Relationship (ER) modelling capability
- Experience modelling complex business domains including many-to-many relationships, hierarchical structures and rule-based logic
- Knowledge graph modelling experience, including nodes, edges and graph traversal concepts
- Workshop and requirements discovery experience with stakeholders and business users
- Ability to operate confidently in regulated environments (e.g., Government or Financial Services)
- Minimum 5 years continuous UK residency (mandatory)
If this sounds like your kind of modelling challenge - where clarity unlocks intelligence - apply now.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Knowledge Modeller x2 employer: Experis
As a Technical Stores Person at our Boscombe Down location, you will be part of a dedicated team supporting military operations with a focus on efficiency and high standards of service. Our company fosters a collaborative work culture that values employee growth, offering training opportunities and the chance to develop your skills in a dynamic environment. With a commitment to excellence and compliance, we provide a unique opportunity to contribute meaningfully to the defence sector while enjoying the benefits of working in a supportive and professional setting.
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Modeller x2
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Experis before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Experis.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Experis.
We think you need these skills to ace Knowledge Modeller x2
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Experis, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Experis, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Experis’s attention and show the tangible impact of your work.
How to prepare for a job interview at Experis
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Experis.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Experis.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Experis.
