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For Companies At a Glance
- Tasks: Lead the development of machine learning solutions for CRM personalization and enhance customer engagement.
- Company: Join Ralph Lauren, a global leader in fashion with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact by developing cutting-edge recommendation systems in a dynamic environment.
- Qualifications: Proven experience in machine learning and strong Python skills required.
- Other info: Collaborate with diverse teams and enjoy excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
We're looking for a passionate and experienced Data Scientist Manager to lead personalization efforts within Ralph Lauren's CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets.
Essential Duties & Responsibilities
- Lead development of machine learning solutions for CRM personalization.
- Build and optimize recommendation engines using neural networks and deep learning, incorporating product embeddings and other advanced features to improve relevance and performance.
- Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies.
- Own the full ML lifecycle—from model design to deployment and monitoring.
- Partner with engineering and data teams to ensure scalable solutions.
- Continuously monitor and improve model performance using data insights and feedback.
Experience, Skills & Knowledge
- Proven experience in machine learning, particularly in recommendation systems and deep learning architectures.
- Strong understanding of two-tower neural networks, embedding techniques, and ranking models.
- Proficiency in Python with familiarity to ML libraries such as pandas, numpy, scipy, scikit-learn, tensorflow, pytorch.
- Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku.
- Experience with ML Ops, including model deployment, monitoring, and retraining pipelines.
- Ability to work cross-functionally with marketing, CRM, and engineering teams.
- Excellent communication and stakeholder management skills.
- Experience in a global or multi-regional context is a plus.
Data Science Manager in London employer: Ralph Lauren
Contact Detail:
Ralph Lauren Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to connections in the data science field, especially those who work at Ralph Lauren or similar companies. A friendly chat can open doors and give you insider info on the hiring process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to recommendation systems. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss neural networks, embedding techniques, and your experience with ML Ops. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Manager role. Highlight your experience in machine learning, recommendation systems, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our CRM personalization efforts. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any ML libraries you’ve used. If you have experience with cloud platforms or ML Ops, make sure to include that too—it’s a big plus for us!
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 shows your enthusiasm for joining our team!
How to prepare for a job interview at Ralph Lauren
✨Know Your Models Inside Out
Make sure you can discuss your experience with machine learning models, especially recommendation systems and deep learning architectures. Be ready to explain how you've built and optimised these models in the past, and share specific examples of their impact on customer engagement.
✨Brush Up on Technical Skills
Since this role requires proficiency in Python and familiarity with ML libraries like TensorFlow and PyTorch, ensure you're comfortable discussing your coding skills. You might even want to prepare for a technical assessment or coding challenge, so practice writing clean, efficient code.
✨Understand the Business Context
Familiarise yourself with Ralph Lauren's CRM ecosystem and how data science can enhance customer engagement. Think about how your work can align with marketing goals and customer segmentation strategies, and be prepared to discuss how you would collaborate with different teams.
✨Showcase Your Communication Skills
As a Data Science Manager, you'll need to communicate complex ideas clearly to non-technical stakeholders. Prepare to demonstrate your ability to convey technical concepts in an accessible way, and think of examples where you've successfully managed stakeholder expectations in previous roles.
