At a Glance
- Tasks: Analyse customer behaviour and drive e-commerce insights using advanced maths and statistics.
- Company: Join ghd, a leading brand in the beauty industry with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exciting analytical projects to enhance your skills.
- Why this job: Make a real impact by influencing business strategies through data-driven insights.
- Qualifications: Strong quantitative background with expertise in Python or R programming.
The predicted salary is between 40000 - 50000 € per year.
ghd is looking for a Data Scientist to join their team in Leeds. This exciting role involves applying advanced maths and statistics to analyze customer behavior and drive e-commerce insights.
Candidates should have a strong quantitative background with expertise in statistical knowledge and programming in Python or R. The position offers a hybrid work model allowing for a mix of office and home working.
Collaborate on various analytical projects and help build analytical models that influence business strategies.
Ecommerce Data Scientist — Hybrid (Leeds) employer: GHD
At ghd, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid work model provides flexibility, allowing you to balance your professional and personal life while working on impactful projects that drive e-commerce insights. With a strong focus on employee growth, we provide ample opportunities for skill development and career advancement in the vibrant city of Leeds.
StudySmarter Expert Advice🤫
We think this is how you could land Ecommerce Data Scientist — Hybrid (Leeds)
✨Tip Number 1
Network like a pro! Reach out to current employees at ghd on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using Python or R. This will help you stand out and demonstrate your expertise in e-commerce insights.
✨Tip Number 3
Practice makes perfect! Brush up on your statistical knowledge and coding skills before the interview. We recommend doing some mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the ghd team and ready to dive into those analytical projects.
We think you need these skills to ace Ecommerce Data Scientist — Hybrid (Leeds)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your quantitative background and any experience you have with Python or R. We want to see how your skills can help us analyse customer behaviour and drive e-commerce insights!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Ecommerce Data Scientist role. We love seeing how you connect your experience to what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at GHD
✨Know Your Numbers
Brush up on your statistical knowledge and be ready to discuss how you've applied advanced maths in previous roles. Be prepared to explain your thought process when analysing customer behaviour and how it can drive e-commerce insights.
✨Show Off Your Coding Skills
Make sure you’re comfortable with Python or R, as these are crucial for the role. Bring examples of projects where you've used these programming languages to build analytical models, and be ready to discuss the challenges you faced and how you overcame them.
✨Understand the Business
Research ghd and their e-commerce strategies. Familiarise yourself with their products and target audience. This will help you tailor your answers to show how your skills can directly benefit their business strategies.
✨Prepare for Collaboration Questions
Since the role involves collaboration on various analytical projects, think of examples from your past experiences where teamwork was key. Be ready to discuss how you communicate complex data insights to non-technical stakeholders.
