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- Tasks: Use AI and machine learning to transform marketing strategies and enhance customer experiences.
- Company: Leading beauty brand in Greater London with a dynamic Data Science team.
- Benefits: 25 days holiday, inclusive parental leave, wellness benefits, and hybrid work model.
- Why this job: Join a supportive environment and make a real impact in the beauty industry.
- Qualifications: Relevant degree and 3-5 years of data science experience, skilled in Python and SQL.
- Other info: Innovative workplace with opportunities for personal and professional growth.
The predicted salary is between 50000 - 60000 £ per year.
A leading beauty brand in Greater London is seeking a Data Scientist to join their dynamic Data Science team. The role focuses on leveraging data, machine learning, and AI to enhance decision-making and customer experiences.
Candidates should possess a relevant degree and 3-5 years of data science experience, proficient in Python, SQL, and data science libraries.
The position offers a hybrid work model with numerous benefits including:
- 25 days of holiday
- Inclusive parental leave
- Wellness benefits
Creating a supportive and innovative work environment.
Data Scientist: AI/ML for Marketing Personalisation (Hybrid) in London employer: Charlotte Tilbury Beauty Ltd
Contact Detail:
Charlotte Tilbury Beauty Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: AI/ML for Marketing Personalisation (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the beauty brand on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving AI/ML. This will help us demonstrate our expertise and passion for the role.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and SQL. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Data Scientist: AI/ML for Marketing Personalisation (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML in marketing personalisation and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Charlotte Tilbury Beauty Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your Python, SQL, and data science libraries before the interview. Be ready to discuss specific projects where you've used these skills, especially in AI and machine learning for marketing personalisation.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data challenges in the past. Think of examples where your insights led to improved decision-making or enhanced customer experiences, as this is key for the role.
✨Understand the Brand
Do some homework on the beauty brand you're interviewing with. Familiarise yourself with their products, target audience, and any recent marketing campaigns. This will help you tailor your answers and show genuine interest in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and how they measure success in their data initiatives. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.