Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise knowledge frameworks for claims processing and underwriting decisions.
- Company: Leading insurance firm with a focus on innovation and data-driven solutions.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Remote or hybrid work available, fostering a collaborative environment.
- Why this job: Join a dynamic team to shape the future of insurance through cutting-edge ontology work.
- Qualifications: 12+ years in insurance underwriting or claims with strong ontology expertise.
The predicted salary is between 80000 - 100000 £ per year.
Preferred location: London (Remote or hybrid possible)
Permanent role
Need 12+ years of experience
We have an urgent requirement come from a client for Insurance specific ontology specialists who understand insurance domain very well. So underwriting ontologist, claims ontologist.
Role Overview:
We are seeking a skilled Underwriter with expertise in claims ontology to design, manage and optimise structured knowledge frameworks that support claims processing, underwriting decisions and data-driven insights within the insurance domain.
Key Skills & Experience:
- Experience in insurance underwriting and/or claims (UK market preferred).
- Strong understanding of ontology, taxonomy design, and semantic data modelling.
- Familiarity with data standards, knowledge graphs, or tools such as RDF/OWL/SPARQL.
- Analytical mindset with ability to bridge business and technical stakeholders.
- Knowledge of regulatory frameworks and insurance data governance in the UK.
Key Responsibilities:
- Develop and maintain claims ontologies, taxonomies and data models aligned with underwriting and claims processes.
- Collaborate with underwriters, actuaries, and data teams to standardise claims data definitions and relationships.
- Enhance claims automation, decisioning and fraud detection through semantic modelling.
- Ensure consistency and quality of claims data across systems and platforms.
- Support integration of ontology models into analytics, AI, and digital claims solutions.
- Translate business requirements into structured data frameworks and logic models.
Claims Ontologist (Underwriter) in London employer: Lancesoft Ltd
Contact Detail:
Lancesoft Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Claims Ontologist (Underwriter) in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant events. We can’t stress enough how important it is to make connections in the insurance domain, especially with those who understand claims ontology.
✨Tip Number 2
Show off your expertise! Prepare to discuss your experience in insurance underwriting and claims during interviews. We want you to highlight your knowledge of ontology and data modelling, so practice articulating your insights clearly.
✨Tip Number 3
Tailor your approach! When applying for roles, focus on how your skills align with the specific needs of the job. We recommend using our website to find positions that match your expertise in claims ontologies and semantic data.
✨Tip Number 4
Stay updated! The insurance landscape is always evolving, so keep an eye on trends and new technologies in claims processing and ontology design. We suggest following relevant blogs and joining forums to stay in the loop.
We think you need these skills to ace Claims Ontologist (Underwriter) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Claims Ontologist. Highlight your experience in insurance underwriting and claims, and don’t forget to mention any work with ontology and data modelling. We want to see how your skills fit perfectly with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the insurance domain and how your expertise can help us at StudySmarter. Be specific about your experience with claims ontologies and how you can contribute to our team.
Showcase Relevant Projects: If you’ve worked on projects related to ontology design or claims processing, make sure to include them in your application. We love seeing real-world examples of your work that demonstrate your analytical mindset and ability to bridge business and technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Lancesoft Ltd
✨Know Your Ontology Inside Out
Make sure you have a solid grasp of ontology, taxonomy design, and semantic data modelling. Brush up on your knowledge of RDF, OWL, and SPARQL, as these are crucial for the role. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the concepts but can apply them effectively.
✨Understand the Insurance Landscape
Since this role is focused on the UK insurance market, it’s essential to be well-versed in underwriting and claims processes specific to this region. Research current trends, regulatory frameworks, and common challenges faced in the industry. This will help you demonstrate your expertise and how you can contribute to the company’s goals.
✨Bridge the Gap Between Business and Tech
Highlight your ability to communicate effectively with both technical and non-technical stakeholders. Prepare examples of how you’ve successfully collaborated with underwriters, actuaries, or data teams in the past. This will showcase your analytical mindset and your capability to translate complex business requirements into structured data frameworks.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you’ve enhanced claims automation, decision-making, or fraud detection through semantic modelling in previous roles. Think of specific challenges you faced and how you overcame them. This will illustrate your proactive approach and your ability to deliver results in a fast-paced environment.