AI Data Architect β€” Hybrid London, Scale Data Systems

AI Data Architect β€” Hybrid London, Scale Data Systems

Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and evolve data architectures for cutting-edge AI products.
  • Company: Join a forward-thinking company in the heart of London.
  • Benefits: Enjoy a hybrid work setup, competitive salary, and career growth.
  • Other info: Collaborative environment with opportunities to innovate and excel.
  • Why this job: Shape the future of AI with scalable and secure data solutions.
  • Qualifications: 6+ years in data architecture, strong SQL/Python skills required.

The predicted salary is between 72000 - 88000 Β£ per year.

Tiro Partners invites applications for a Data Architect role in London, offering a hybrid setup with three days in the office.

You will design and evolve data architectures for AI products, ensuring scalable and secure data pipelines and governance across multiple enterprise systems.

The ideal candidate has 6+ years in data architecture/engineering, strong SQL/Python, and hands-on experience with Azure cloud, data modelling, ETL/ELT, data warehouses and data lakes.

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AI Data Architect β€” Hybrid London, Scale Data Systems employer: Tiro Partners

Join a dynamic and mission-driven organisation that values innovation and collaboration, offering you the chance to lead in Jira Service Management and integrations from the comfort of your home in the UK. With a strong focus on employee growth, you'll have access to continuous learning opportunities and a supportive work culture that encourages creativity and problem-solving. This role not only allows you to make a meaningful impact but also provides the flexibility and resources needed to thrive in a rapidly evolving tech landscape.

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Contact Details:

Tiro Partners Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land AI Data Architect β€” Hybrid London, Scale Data Systems

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tiro Partners!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Data Architect β€” Hybrid London, Scale Data Systems at Tiro Partners.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tiro Partners.

✨Apply Directly through Our Website

When you find a suitable opening like AI Data Architect β€” Hybrid London, Scale Data Systems at Tiro Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Data Architect β€” Hybrid London, Scale Data Systems

Problem-Solving Skills
Automation
Python
SQL
Data Engineering
Communication Skills
Data Pipeline Development

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Tiro Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tiro Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Tiro Partners

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tiro Partners!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.