At a Glance
- Tasks: Design and maintain data models while ensuring data quality and integration.
- Company: Leading insurance firm focused on digital transformation.
- Benefits: Hybrid work, competitive pay, and potential for contract extension.
- Other info: Collaborative environment with opportunities to work with cutting-edge technologies.
- Why this job: Join a major transformation programme and shape the future of data in insurance.
- Qualifications: Experience as a Data Architect in complex projects, especially in insurance.
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 City of London employer: JSS
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work environment in the heart of London or Birmingham. As a Data Architect, you'll play a pivotal role in a major transformation programme within the insurance sector, with opportunities for professional growth and development while working alongside industry experts. Enjoy the flexibility of a hybrid working model, competitive remuneration, and the chance to contribute to meaningful projects that shape the future of data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in City of London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Architect in City of London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Architect at JSS, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at JSS.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at JSS
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
