At a Glance
- Tasks: Design and maintain data models while collaborating with teams to ensure data quality.
- Company: Join a leading firm in the insurance sector focused on digital transformation.
- Benefits: Competitive pay, hybrid work model, and potential for contract extension.
- Other info: Opportunity to work with cutting-edge technologies and enhance your career.
- Why this job: Be part of a major transformation and shape the future of data in insurance.
- Qualifications: Experience as a Data Architect, especially in insurance and data modelling.
The predicted salary is between 60000 - 80000 £ per year.
Role: Contract Data Architect
Location: UK (Hybrid – London or Birmingham preferred)
Contract: 6 Months Initial - Inside IR35
Must have insurance experience
We are looking for an experienced Data Architect to support a major transformation programme focused on modernising underwriting and platform capabilities. This is a hands-on role with a strong focus on conceptual and logical data modelling, ensuring a consistent data foundation across multiple workstreams and alignment with London Market data standards.
Key Responsibilities
- Develop and maintain conceptual and logical data models
- Ensure consistency across multiple delivery workstreams
- Collaborate with architects, engineers, and business stakeholders
- Support data architecture governance and standards
- Identify and address data quality, integration, and duplication risks
- Align data models with future platform and PAS requirements
- Support data governance and metadata management activities
Essential Experience
- Proven Data Architect experience within complex transformation programmes
- Strong hands-on data modelling expertise
- Insurance sector experience, particularly underwriting and policy data
- Knowledge of London Market data standards
- Excellent stakeholder management and collaboration skills
Technical Skills
- Snowflake
- ETL / ELT processes
- Data integration and pipeline design
- Power BI and reporting platforms
Hybrid role with an initial 6-month contract and strong extension potential.
Data Architect in London employer: JSS
As a leading player in the insurance sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Our hybrid working model allows for flexibility between home and office, particularly in vibrant cities like London and Birmingham, while our commitment to professional development ensures that you will have ample opportunities to grow your skills and advance your career. Join us to be part of a transformative journey where your expertise as a Data Architect will directly contribute to shaping the future of our underwriting and platform capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨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 JSS 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 JSS.
✨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 JSS.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at JSS, 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 JSS, 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 JSS’s attention and show the tangible impact of your work.
How to prepare for a job interview at JSS
✨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 JSS.
✨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 JSS.
✨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 JSS.
