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- Tasks: Lead the development of machine learning solutions for CRM personalisation and optimise recommendation engines.
- 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 driving personalisation efforts with cutting-edge data science techniques.
- 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 70000 - 80000 £ 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: £70-80k per annum
- Duration: Permanent
- Location: Hybrid, with 2-3 days/week in Central London office
- Start date: ASAP
Data Science Manager in London employer: FRESHMINDS
Contact Detail:
FRESHMINDS 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 folks in the industry, especially those already working in data science roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect job.
✨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 and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, ML libraries, and how you've collaborated with cross-functional teams. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
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 highlights your experience in machine learning and recommendation systems. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 our CRM personalisation efforts. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and ML libraries. We’re keen on seeing your experience with neural networks and deep learning, so include specific projects or examples that demonstrate your expertise.
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 Data Science Manager role. Plus, it’s super easy!
How to prepare for a job interview at FRESHMINDS
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning knowledge, especially around recommendation systems and deep learning architectures. Be ready to discuss your experience with two-tower neural networks and embedding techniques, as these are crucial for the role.
✨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 campaign goals.
✨Demonstrate Your Technical Proficiency
Be prepared to talk about your proficiency in Python and ML libraries like pandas and TensorFlow. You might even be asked to solve a coding problem or discuss your approach to building and optimising recommendation engines.
✨Communicate Clearly and Confidently
Excellent communication is key, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively to stakeholders who may not have a technical background, ensuring everyone is on the same page.
