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United Kingdom Corridor 🛡️ UK Work Eligibility 🏢 Company - Private

Marketing Data Scientist (£51,960 - £65,210) per annum

Salary Range
£51,960 - £65,210
£4,330 - £5,434 / mo
Verified Corporate Employer (UK Employment Corridor)

This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
London, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
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Position Overview & Specifications

Overview:
  • Sage is an independent, leading academic and professional publisher. We are a growing company, with over 1,500 employees based in London, Los Angeles, Washington DC, Singapore, New Delhi, and Melbourne.
  • We believe that education is intrinsically valuable to a healthy society, and we're dedicated to producing high quality content in our books, journals, and digital products.
  • We're passionate about contributing to our local communities; we run a diverse mix of community-based programs each year and we make sure everyone has the chance to get involved.
Essential Job Functions & Responsibilities:
Our global marketing department is in the middle of an exciting multi-year marketing transformation project, migrating to a new MarTech stack, and embedding a more customer-centric and data-driven marketing strategy to increase the ROl and value from marketing.

The Data and Analytics team are responsible for all aspects of growing, managing, and enriching our customer data, understanding customer behaviour; analysing and interpreting marketing data; producing marketing reports and dashboards, and playing a critical role in the success of the marketing department as we move along our marketing transformation journey.

Your New Role:

  • Become the subject matter expert in ideating and building predictive models related to marketing and customer analytics.
  • Develop an in-depth understanding of data, platforms and datasets used by Marketing, acting as a central expert on customer insights.
  • Build, train, test and help deploy Machine Learning models that have a strong commercial and customer impact.
  • Collaborate with marketing stakeholders across divisions to understand the business strategy, make recommendations based on data and influence key stakeholders to make evidence-based decisions.
  • Drive the effort for change in technology, data engineering and processes needed for data science techniques/models.
  • Join other data science peers in the business and help build data literacy skills across the marketing department.

Qualifications & Education:
  • Knowledgeable about the power of data and use customer insight to data science techniques to develop customer insights.
  • Passionate about data modelling and evolving descriptive to predictive analytics.
  • Expert data wrangler, able to quickly extract key themes when working with disparate customer data.
  • Confident in making data-driven recommendations to shape Marketing strategy.
  • Able to help build data literacy skills across the marketing department.
  • Familiar with the Publishing industry and able to translate complex data into actionable insights through storytelling dashboards and visualizations.
  • Comfortable in communication with both technical and marketing teams.
Caveat: At Sage Publishing we embrace diversity and Inclusion. We seek to promote the benefits of diversity in all of our business activities and develop a business culture that reflects that belief. We welcome applications from all members of society irrespective of age, disability, sex or gender identity, sexual orientation, colour, race, nationality, ethnic or national origin, religion, or belief as creating value through diversity is what makes us strong. As a business and as an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

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Hiring Organization
SAGE Publications, Inc.

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Location: London, England
Eligibility: UK Work Eligibility
Schedule: Company - Private
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