Job Title Senior Data Scientist
Location London - hybrid working (2/3 days in City offices)
Salary To c£75,000 negotiable DoE
Job ReferenceJ13015
POSITION OVERVIEW
We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past.
Job Title Senior Data Scientist
Location London - hybrid working (2/3 days in City offices)
SalaryTo c£75,000 negotiable DoE
Job ReferenceJ13015
POSITION OVERVIEW
We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past.
They are looking for a passionate and experienced Senior Data Scientist / Manager to lead personalization efforts within their CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets.
THE ROLE
• Lead development of machine learning solutions for CRM personalization.
• Build and optimize recommendation engines using neural networks and deep learnings, 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.
REQURIED SKILLS & EXPERIENCE
• 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
If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!
If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme
