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- Tasks: Lead data science initiatives to enhance customer engagement through predictive models and recommendation systems.
- Company: Join Ralph Lauren, a global leader in premium lifestyle products with a rich heritage.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on customer experiences using cutting-edge machine learning technologies.
- Qualifications: Proven experience in machine learning, particularly with recommendation systems and deep learning.
- Other info: Collaborative environment with opportunities to work across global teams.
The predicted salary is between 36000 - 60000 £ per year.
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands.
Position Overview
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.
- 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 e.g. 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 England employer: Ralph Lauren Corporation
Contact Detail:
Ralph Lauren Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager in England
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Science Manager role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to recommendation systems. We want to see your work in action, so make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key when working cross-functionally. We want to see how you can collaborate with marketing and engineering teams!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Ralph Lauren.
We think you need these skills to ace Data Science Manager in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Manager role. Highlight your experience with machine learning, recommendation systems, and any relevant projects that showcase your skills in Python and cloud platforms.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data science and how your experience aligns with our goals at Ralph Lauren. Don’t forget to mention specific examples of your work with predictive models and customer engagement.
Showcase Your Technical Skills: We want to see your technical prowess! Include details about your proficiency with ML libraries and any experience you have with model deployment and monitoring. This will help us understand your hands-on capabilities.
Apply Through Our Website: Don’t forget to apply 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 you’re keen on joining our team!
How to prepare for a job interview at Ralph Lauren Corporation
✨Know Your Models Inside Out
Make sure you can explain the predictive models and recommendation systems you've worked on in detail. Be ready to discuss the algorithms you used, why you chose them, and how they improved customer engagement. This shows your depth of knowledge and passion for data science.
✨Showcase Your Collaboration Skills
Since this role involves working with CRM and marketing teams, prepare examples of how you've successfully collaborated across departments in the past. Highlight any projects where you aligned technical solutions with business goals, as this will demonstrate your ability to bridge the gap between data science and marketing.
✨Be Ready for Technical Questions
Brush up on your Python skills and be prepared to answer questions about ML libraries like TensorFlow and PyTorch. You might even be asked to solve a problem on the spot, so practice coding challenges related to machine learning and recommendation systems to boost your confidence.
✨Understand the Brand and Its Customers
Research Ralph Lauren's brand values and target audience. Think about how your data science expertise can enhance their CRM efforts. Being able to connect your technical skills to their specific needs will show that you're not just a great candidate, but also a good fit for their culture.
