Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead machine learning projects to enhance customer experiences through personalised recommendations.
- Company: Join Ralph Lauren, a global leader in premium lifestyle products with a rich heritage.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact in fashion tech by innovating customer engagement strategies.
- Qualifications: Experience in machine learning and strong Python skills are essential.
- Other info: Collaborate with diverse teams in a vibrant, global setting.
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.
Location: London, England, United Kingdom
Salary: £45,000 - £50,000
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.
Qualifications:
- 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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Retail Apparel and Fashion
Data Science Manager employer: Ralph Lauren
Contact Detail:
Ralph Lauren Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Ralph Lauren. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to recommendation systems. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python and ML concepts. Use platforms like StudySmarter to refine your knowledge and skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Data Science Manager
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 you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to Ralph Lauren's goals. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role requires proficiency in Python and ML libraries, make sure to include any relevant technical skills in your application. We love seeing examples of your work, so if you have a portfolio or GitHub, don’t hesitate to share it!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Ralph Lauren
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning knowledge, especially around recommendation systems and deep learning. Be ready to discuss specific projects you've worked on, particularly those involving two-tower neural networks and embedding techniques.
✨Showcase Your Collaboration Skills
Since this role involves working closely with CRM and marketing teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you aligned technical solutions with business goals.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach building and optimising a recommendation engine, and be ready to explain your thought process clearly.
✨Familiarise Yourself with Their Tools
Research the tools and platforms mentioned in the job description, like GCP, AWS, or Dataiku. If you have experience with these, be sure to mention it. If not, show your willingness to learn and adapt quickly.
