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Data Science Manager

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Freshminds
Full Time, Part Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 70000 - 80000 GBP Yearly GBP 70000.00 80000.00 YEAR
Job Description & How to Apply Below

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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, tensor flow, 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
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