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- Tasks: Lead the development of predictive models to enhance customer engagement through advanced machine learning.
- Company: Join a global lifestyle brand that values innovation and creativity.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on customer experiences using cutting-edge data science techniques.
- Qualifications: Strong skills in recommendation systems, deep learning, Python, and cloud platforms.
- Other info: Collaborate with diverse teams in a dynamic and supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A global lifestyle brand is seeking a Data Science Manager to enhance CRM personalisation through advanced machine learning techniques. This role requires strong skills in recommendation systems and deep learning, along with proficiency in Python and cloud platforms. You will lead the development of predictive models and work with various teams to improve customer engagement. The position is hybrid, requiring 2-3 days per week in the Central London office.
Data Science Manager: Personalization & RecSys in London employer: Freshminds Interim
Contact Detail:
Freshminds Interim Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager: Personalization & RecSys in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving recommendation systems and deep learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with different teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Science Manager: Personalization & RecSys in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with recommendation systems and deep learning in your application. We want to see how your skills in Python and cloud platforms can enhance our CRM personalisation efforts.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Data Science Manager role. We love seeing how you can connect your past experiences to what we’re looking for.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you convey your passion for data science and customer engagement without fluff.
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 from our team!
How to prepare for a job interview at Freshminds Interim
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of recommendation systems and deep learning techniques. Be ready to discuss specific projects where you've applied these skills, and don't shy away from diving into the technical details. This will show your expertise and passion for the field.
✨Showcase Your Python Proficiency
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising common data science problems in Python can really help you shine.
✨Understand the Brand's Vision
Research the global lifestyle brand thoroughly. Understand their values, target audience, and how they currently use data to enhance customer engagement. This knowledge will allow you to tailor your answers and show how you can contribute to their goals.
✨Prepare for Team Collaboration Questions
As you'll be working with various teams, expect questions about collaboration and leadership. Think of examples where you've successfully led a project or worked cross-functionally. Highlight your communication skills and how you can bridge the gap between technical and non-technical teams.
