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- Tasks: Lead the development of predictive models and recommendation systems for customer engagement.
- Company: Global fashion leader at the forefront of data-driven marketing.
- Benefits: Exciting projects, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in personalising customer experiences on a global scale.
- Qualifications: Experience in machine learning, especially with recommendation systems, and proficiency in Python.
- Other info: Join a dynamic team pushing the boundaries of innovation in fashion.
The predicted salary is between 36000 - 60000 £ per year.
A global fashion leader is seeking a Data Scientist Manager to spearhead personalization initiatives within its CRM ecosystem. In this role, you will develop advanced predictive models and recommendation systems that enhance customer engagement on a global scale.
Candidates should have proven experience in machine learning, particularly with recommendation systems, and be proficient in Python and cloud platforms. This position offers an opportunity to work in a dynamic environment, pushing the boundaries of data-driven marketing.
CRM Personalization ML Lead | Data Science Manager in London employer: Ralph Lauren Corporation
Contact Detail:
Ralph Lauren Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CRM Personalization ML Lead | Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fashion and data science industries on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to recommendation systems. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and cloud platform knowledge. Be ready to discuss how you've used these tools in past projects to drive customer engagement.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative to connect directly with us. It shows you're serious about joining the team!
We think you need these skills to ace CRM Personalization ML Lead | Data Science Manager in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and recommendation systems in your application. We want to see how you've used Python and cloud platforms to drive results in previous roles.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the CRM Personalization ML Lead role. We love seeing candidates who take the time to align their skills with our needs.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get straight to the point about why you’re the perfect fit for this dynamic environment and how you can push the boundaries of data-driven marketing.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Ralph Lauren Corporation
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems. Be ready to discuss your past projects and how you've applied these techniques in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Show Off Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data manipulation tasks in Python can really help you shine.
✨Familiarise Yourself with Cloud Platforms
As this role involves working with cloud platforms, make sure you know the basics of the ones mentioned in the job description. Whether it's AWS, Google Cloud, or Azure, understanding how to deploy models and manage data in the cloud will give you an edge during the interview.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and creativity. Think about how you would approach specific challenges in CRM personalisation. Practising these types of questions can help you articulate your thought process clearly and confidently.
