At a Glance
- Tasks: Lead data strategy and shape our modern data platform for impactful insights.
- Company: Join Mint Velvet, a chic and responsible fashion brand with a collaborative culture.
- Benefits: Enjoy hybrid working, growth opportunities, and a supportive environment.
- Other info: Be part of a growing team that values balance and creativity.
- Why this job: Make a real impact in a dynamic business focused on people, planet, and community.
- Qualifications: Experience in data leadership and a passion for driving insights.
The predicted salary is between 56700 - 69300 £ per year.
Hybrid working, 2 days per week in office.
Mint Velvet began when founders Liz Houghton and Lisa Agar-Rea set out to create an unfailingly chic collection of contemporary, great quality staples and elevated fits that they felt were missing from their wardrobes. Feeling frustrated that they couldn’t find anything they wanted to wear, or the great customer service they craved, they started fusing relaxed comfort with glamorous yet wearable fashion trends. Relaxed Glamour was born.
As collaborative creatives, we take untold pride in our work, designing with heart and soul. We want to be a force for good and are committed to becoming a more circular and responsible business, from the fabrics we choose to our considered processes. We are an agile and growing business, and we work hard to create an environment which allows for growth and progression, balanced with the support and flexibility needed to meet the challenge of a high-performance culture. Our leadership teams and founders sit amongst the teams and encourage a culture of balance and passion.
MV is a very special place, and our values are anchored by three main pillars: people, planet, and community.
We’re looking for an experienced and hands‑on Data Lead to lead the next chapter of our data capability. This is a unique opportunity to take ownership of our modern data platform, shape our data strategy and build a culture where trusted insight drives every decision across the business.
As our Data Lead, you’ll combine strategic vision with practical delivery, ensuring our data ecosystem is scalable, secure and commercially impactful. You’ll play a pivotal role in enabling self‑service analytics, supporting AI‑driven decision‑making and building a data capability that evolves alongside our business.
Our Values: With Soul. Courage.
Data Lead employer: Mint Velvet
Mint Velvet is an exceptional employer that fosters a vibrant and supportive work culture, where creativity and collaboration thrive. With a commitment to employee growth, the company offers competitive salaries, generous holiday allowances, and unique perks like summer hours and wellness activities, all within a flexible hybrid working model in High Wycombe. Join us to be part of a passionate team dedicated to making a positive impact on people and the planet while enjoying a fulfilling career in the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead
✨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 Mint Velvet!
✨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 Data Lead at Mint Velvet.
✨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 Mint Velvet.
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead at Mint Velvet, 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 Data Lead
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 Mint Velvet, 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 Mint Velvet. 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 Mint Velvet
✨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 Mint Velvet!
✨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.
