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Head of Data Science and Analytics

Harnham

Manchester

Hybrid

GBP 100,000 - 120,000

Full time

Yesterday
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Job summary

A leading independent media and entertainment group seeks a Head of Data Science & Analytics in Manchester. This role involves leading a team, shaping the data vision, and delivering insights to drive growth and engagement across the organization.

Qualifications

  • Experience leading high-performing data science or advanced analytics teams.
  • Track record of influencing strategy through data.

Responsibilities

  • Build and lead a team of data scientists, analysts, and BI engineers.
  • Own the strategy for how data is used to drive growth and engagement.
  • Deliver predictive models to optimise audience targeting.

Skills

SQL
Python
Predictive Modelling
Data Strategy

Job description

Job Description

Head of Data Science & Analytics

Manchester (Hybrid – 2 days in office)

Full-Time | Permanent

Up to £120,000 + benefits

Join one of the world’s largest independent media and entertainment groups, home to iconic brands across audio, publishing, and digital.

This new Head of Data Science & Analytics role will lead a growing UK-based function within the Audio Division, acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale.

What you’ll be doing:

  • Build and lead a team of data scientists, analysts, and BI engineers
  • Own the strategy for how data is used to drive growth, engagement, and commercial outcomes
  • Deliver predictive models to optimise audience targeting, content strategy, and advertising revenue
  • Develop analytics products and tooling to support multiple business units
  • Act as a key point of contact for European stakeholders and cross-functional teams
  • Translate complex data into actionable insight for both technical and non-technical audiences

Key skills & experience:

  • Strong expertise in SQL and Python
  • Proven experience building and deploying statistical and predictive models
  • Experience leading high-performing data science or advanced analytics teams
  • Track record of influencing strategy through data
  • Engaging, collaborative, and able to lead with clarity and confidence

HOW TO APPLY

Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.

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