Data Science Manager - Recommendation Systems (Retail and Luxury)

Freshminds Interim; Greater London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A global lifestyle brand is seeking a Data Science Manager to enhance CRM personalisation through advanced machine learning techniques. This role requires strong skills in recommendation systems and deep learning, along with proficiency in Python and cloud platforms. You will lead the development of predictive models and work with various teams to improve customer engagement. The position is hybrid, requiring 2-3 days per week in the Central London office.

Qualifications

• Experience with recommendation systems and deep learning architectures.
• Ability to work cross-functionally with marketing and engineering.
• Experience in global or multi-regional contexts is a plus.

Responsibilities

• Lead development of machine learning solutions for CRM personalisation.
• Build and optimise recommendation engines using neural networks.
• Collaborate with teams to align with campaign goals.

Skills

Proven experience in machine learning

Strong understanding of two-tower neural networks

Proficiency in Python and ML libraries

Familiarity with cloud platforms

Excellent communication skills

Tools

Python

TensorFlow

PyTorch

Job description

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'll 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