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Data Scientist (Marketing Science)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Marketing Science) (AI/Marketing Analytics): Developing machine learning and analytics solutions to optimise advertising campaigns, audience targeting, media spend, and campaign measurement with an accent on forecasting, experimentation, causal inference, and marketing mix modelling. Focus on building reusable analytical tools, quantifying uncertainty, and translating complex data science into commercial recommendations for clients and senior stakeholders.

Location: London, United Kingdom. Hybrid role with teams in the office around four days a week. This is a UK-based role and requires the right to work in the United Kingdom.

Company

hirify.global is WPP's AI-driven media operating unit, combining media, data, partnerships, and marketing intelligence to improve advertising outcomes for leading brands.

What you will do

  • Develop and maintain AI and machine learning algorithms for media buying optimisation across campaign KPIs.
  • Create audience segmentation, addressability, and targeting models across multiple targeting keys.
  • Build forecasting models, campaign measurement methodologies, and A/B testing approaches.
  • Apply yield management strategies to maximise supply utilisation across addressable TV.
  • Generate actionable insights for campaign planning, media strategy, and budget allocation.
  • Present analytical findings as clear commercial recommendations to clients and senior stakeholders.

Requirements

  • Mid-level data science experience, typically around 3+ years; junior candidates with a couple of years of relevant professional experience may be considered for progression.
  • Strong Python and SQL skills and experience working with large, imperfect datasets.
  • Experience with supervised machine learning for classification and regression, forecasting, and uncertainty quantification.
  • Knowledge of experimental design, causal inference, quasi-experimental methods, geographic experimentation, and test-and-control approaches.
  • Experience with audience and customer segmentation, budget allocation, channel mix, marketing mix modelling, saturation, and diminishing returns.
  • Must have the right to work in the United Kingdom.

Nice to have

  • Experience with cloud platforms and model deployment.
  • Experience with Streamlit, Dash, Power BI, or Tableau.
  • Experience building reusable, documented self-service analytical tools.

Culture & Benefits

  • Open and inclusive environment focused on trust, respect, collaboration, and professional growth.
  • Opportunities to use global hirify.global and WPP networks for professional connections and learning.
  • Employee resource groups and frequent in-office events.
  • Medical, retirement, vision, and dental insurance.
  • Paid time off, partner discounts, and employee mental health awareness days.

Hiring process

  • Only shortlisted candidates will be contacted for an interview.
  • Accommodation or flexibility needs can be discussed during the interview process.

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