At a Glance
- Tasks: Lead a team to own and enhance the data platform and architecture.
- Company: WGSN, a forward-thinking company in London focused on data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on cutting-edge technology and compliance.
- Why this job: Shape the future of AI products and drive impactful data solutions.
- Qualifications: Experience in data engineering and leadership skills required.
The predicted salary is between 81000 - 99000 £ per year.
WGSN in London is seeking a Director of Data Engineering to own the data platform, its architecture and day-to-day operations.
You will report to Group Chief Data Officer, lead a team of five engineers, and collaborate with Group Technology, Data Science and programme teams.
The role centers on the trend spine linking signals, forecasts and content; you will drive the upcoming platform rebuild and lay the foundations for AI products, ensuring GDPR compliance and cost efficiency.
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Director of Data Platform & AI-Ready Architecture in London employer: WGSN
WGSN is an exceptional employer that fosters a dynamic and inclusive work culture, empowering employees to thrive in their roles. With a strong focus on professional development, you will have access to extensive growth opportunities while working alongside a talented team in a vibrant EMEA location. Join us to lead innovative sales strategies and make a significant impact in the fast-paced world of SaaS.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Data Platform & AI-Ready Architecture in London
✨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 WGSN!
✨Show Off Your Projects
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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 WGSN.
✨Apply Directly through Our Website
When you find a suitable opening like Director of Data Platform & AI-Ready Architecture at WGSN, 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 Director of Data Platform & AI-Ready Architecture in London
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 WGSN, 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 WGSN. 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 WGSN
✨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 WGSN!
✨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.
