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12 дней назад

Pricing Manager (Pricing Strategies and Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Pricing Manager (Pricing Strategies and Analytics) (Pricing Analytics/Machine Learning): Leading global pricing programmes and developing advanced pricing strategies across products, markets, and stakeholder groups with an accent on value-based pricing, segmentation, elasticity modelling, and willingness-to-pay analysis. Focus on building statistical and machine learning models, designing pricing experiments, and translating complex findings into commercial recommendations for senior leaders.

Location: Nottingham, England, United Kingdom; hybrid working with 40% office-based attendance

Company

hirify.global is a global data and technology company serving markets including financial services, healthcare, automotive, agribusiness, and insurance.

What you will do

  • Lead complex global pricing programmes and strategic pricing projects across products, markets, customer segments, and business units.
  • Develop and implement pricing strategies focused on value capture, commercial performance, and long-term business objectives.
  • Design advanced pricing analytics, including price optimisation, segmentation, elasticity modelling, willingness-to-pay assessments, and commercial scenario modelling.
  • Build and apply statistical and machine learning models to improve pricing decisions, customer segmentation, and revenue outcomes.
  • Drive pricing transformation through frameworks, governance, tools, experimentation programmes, and best practices.
  • Advise senior commercial, product, finance, sales, and strategy stakeholders, translating complex analysis into actionable recommendations.

Requirements

  • Significant experience in pricing, commercial strategy, revenue management, or pricing analytics within a complex service-based organisation.
  • Experience influencing senior stakeholders in a global matrix environment without direct authority.
  • Hands-on experience with regression models, cluster analysis, customer segmentation, Generalised Linear Models, tree-based and boosting models, regularised linear models, and Double Machine Learning.
  • Deep expertise in value-based pricing, willingness-to-pay methodologies, price elasticity analysis, and commercial pricing strategy.
  • Experience designing pricing research and experimentation, including conjoint analysis, discrete choice models, A/B testing, pilots, and demand modelling.
  • Track record of leading pricing transformation initiatives and delivering measurable commercial outcomes.

Culture & Benefits

  • Hybrid working model with 40% office-based attendance.
  • Pension, Bupa healthcare, Sharesave Scheme, and a discretionary bonus.
  • 25 days of annual leave, 8 bank holidays, and 3 volunteering days.
  • Option to purchase additional annual leave.
  • Inclusive, purpose-driven culture with a global workforce across 32 countries.

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