Lead Data & AI Solutions Architect (Hybrid) in Leeds

Lead Data & AI Solutions Architect (Hybrid) in Leeds

Leeds Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
W Talent

At a Glance

  • Tasks: Lead a team to define tech strategies and deliver innovative Data & AI solutions.
  • Company: W Talent, a forward-thinking company based in Leeds.
  • Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Join a collaborative environment with exciting projects and career advancement.
  • Why this job: Shape the future of Data & AI while leading a dynamic team.
  • Qualifications: Proven leadership in cloud-based data analytics and strong architectural skills.

The predicted salary is between 70000 - 90000 £ per year.

W Talent in Leeds is looking for a Team Lead Solution Architect specializing in Data & AI. This pivotal role involves defining technology strategies and delivering solutions across enterprise applications, requiring leadership experience to guide a team.

The ideal candidate should have deep expertise in cloud-based data analytics, strong architectural skills, and the ability to engage with stakeholders effectively. This is a hybrid role with flexible working arrangements.

Lead Data & AI Solutions Architect (Hybrid) in Leeds employer: W Talent

W Talent in Leeds is an exceptional employer that fosters a collaborative and innovative work culture, offering flexible hybrid working arrangements to support a healthy work-life balance. Employees benefit from continuous professional development opportunities, enabling them to grow their skills in cutting-edge Data & AI technologies while being part of a dynamic team that values leadership and stakeholder engagement.

W Talent

Contact Details:

W Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data & AI Solutions Architect (Hybrid) in Leeds

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 W Talent!

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 Lead Data & AI Solutions Architect (Hybrid) at W Talent.

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 W Talent.

Apply Directly through Our Website

When you find a suitable opening like Lead Data & AI Solutions Architect (Hybrid) at W Talent, 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 Lead Data & AI Solutions Architect (Hybrid) in Leeds

Cloud-Based Data Analytics
Architectural Skills
Stakeholder Engagement
Leadership Experience
Solution Architecture
Technology Strategy Definition
Team Management

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 W Talent, 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 W Talent. 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 W Talent

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 W Talent!

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.