Data Science Manager

Freshminds; England; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

A global lifestyle brand is seeking a Data Science Manager to lead the development of machine learning solutions for CRM personalisation. You will build and optimise recommendation engines and work closely with marketing and engineering teams. The role offers a salary range of £70-80k per annum and supports a hybrid working model with some office presence in Central London.

Qualifications

• Proven experience in machine learning, particularly in recommendation systems.
• Strong understanding of two-tower neural networks and ranking models.
• Experience with deployment, monitoring, and retraining pipelines.

Responsibilities

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

Skills

Machine learning expertise

Recommendation systems

Neural networks

Python proficiency

ML libraries

Cloud platforms familiarity

ML Ops experience

Cross-functional collaboration

Communication skills

Tools

Dataiku

Job description

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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: £70-80k per annum
• Duration: Permanent
• Location: Hybrid, with 2-3 days/week in Central London office

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Data Infrastructure and Analytics