At a Glance
- Tasks: Lead data modelling projects and create innovative solutions in the insurance sector.
- Company: Dynamic company at the forefront of data innovation in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge data practices.
- Why this job: Join a team shaping the future of data in the insurance industry.
- Qualifications: 10+ years in data modelling with strong insurance sector experience.
The predicted salary is between 80000 - 88000 £ per year.
Job Type
Fixed Term
Location
London- 2-3 days Onsite — Hybrid
Duration
- 12 months
- Senior Data Modeller / Data Lead (Ontology & Insurance)
- We are looking for an experienced
- Senior Data Modeller / Data Lead with a strong background in
- Ontology-driven data modelling and the
Insurance domain .
Key Skills
- Ontology / Semantic Data Modelling
- FIBO, ACORD, BIAN
- Conceptual, Logical & Physical Data Modelling
- Data Mesh / Data Products
- UML
Insurance Experience
- London Market Insurance
- General Insurance
- Claims
- Policy Administration
- ACORD Standards
What We're Looking For
- 10+ years of experience in Data Modelling or Data Lead.
- Hands-on experience within the Insurance or London Market Insurance sector.
- Excellent stakeholder management and communication skills
- #J-18808-Ljbffr
Senior Data Modeller / Data Architect employer: Intelstack
At Intelstack, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work model allows for flexibility while our commitment to employee growth ensures that you will have ample opportunities for professional development and mentorship within a dynamic team of skilled engineers. Join us in shaping the future of cloud infrastructure with cutting-edge technology in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Modeller / Data Architect
✨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 Intelstack 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 Intelstack.
✨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 Intelstack.
We think you need these skills to ace Senior Data Modeller / Data Architect
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Intelstack, 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 Intelstack, 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 Intelstack’s attention and show the tangible impact of your work.
How to prepare for a job interview at Intelstack
✨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 Intelstack.
✨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 Intelstack.
✨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 Intelstack.
