Marketing Data Scientist (£51,960 - £65,210) per annum
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Position Overview & Specifications
- 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.
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.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Publishing
Based on transatlantic hiring benchmarks for Marketing Data Scientist (£51,960 - £65,210) per annum roles across SAGE Publications, Inc.'s corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Publishing.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £51,960 - £65,210 bracket, including retirement vesting and health parity.
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