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- Tasks: Lead the development of machine learning solutions for CRM personalisation and recommendation systems.
- Company: Join a global lifestyle brand focused on customer engagement and innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing customer experiences through cutting-edge data science.
- Qualifications: Experience in machine learning, particularly with recommendation systems and deep learning.
- Other info: Collaborative environment with a focus on cross-functional teamwork and global strategies.
The predicted salary is between 65000 - 75000 £ per year.
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You will develop recommendation systems and predictive models that support global marketing and CRM strategies.
Responsibilities
- Lead development of machine learning solutions for CRM personalisation
- Build and optimise recommendation engines using neural networks and deep learning
- Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies
- Partner with engineering and data teams to ensure scalable solutions
- Monitor and improve model performance using data insights and feedback
Requirements
- 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 and 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 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
Details
- Salary: £65k-75k per annum
- Duration: Permanent
- Location: Hybrid, with 2-3 days/week in Central London office
- Start date: ASAP
Data Science Manager - Recommendation Systems (Retail and Luxury) 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 - Recommendation Systems (Retail and Luxury) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data science or CRM roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to recommendation systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with neural networks and how you've collaborated with cross-functional teams.
✨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 - Recommendation Systems (Retail and Luxury) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Science Manager. Highlight your experience with recommendation systems and machine learning, and don’t forget to mention any relevant projects that showcase your skills in Python and deep learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalisation in CRM and how your background aligns with our goals at StudySmarter. Keep it engaging and make it personal!
Showcase Your Collaboration Skills: Since this role involves working with various teams, emphasise your ability to collaborate effectively. Share examples of past experiences where you’ve partnered with marketing or engineering teams to achieve common goals.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. 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 Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems and deep learning architectures. Be ready to discuss your experience with two-tower neural networks and embedding techniques, as these will likely come up in conversation.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built or optimised recommendation engines. Highlight the tools you used, like Python and ML libraries, and any cloud platforms you've worked with. Real-world examples will help demonstrate your expertise.
✨Collaboration is Key
Since this role involves working closely with CRM and marketing teams, think of examples where you've successfully collaborated across functions. Be ready to discuss how you aligned technical solutions with campaign goals and segmentation strategies.
✨Communicate Clearly
Excellent communication skills are a must for this position. Practice explaining complex technical concepts in simple terms, as you'll need to engage with stakeholders who may not have a technical background. Clear communication can set you apart from other candidates.
