Назад
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3 дня назад

Data Scientist (AI)

65 000GBP
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 (AI) (Python/SQL, ML): Building and maintaining production data science models for ecommerce marketing measurement, including attribution, marketing mix modelling, incrementality testing, and brand impact measurement, with an accent on methodological judgement and production engineering. Focus on selecting modelling approaches, developing automation with AI, resolving issues across unfamiliar codebases, and communicating model outcomes to clients.

Location: London, United Kingdom

Salary: Up to £65,000 per year

Company

hirify.global builds marketing measurement products for ecommerce brands, including attribution, marketing mix modelling, incrementality testing, and brand impact measurement.

What you will do

  • Lead larger production projects from scoping through implementation and release.
  • Select and apply suitable modelling approaches across hirify.global's measurement product suite.
  • Debug and resolve bugs and queries independently across unfamiliar repositories.
  • Use AI tooling to accelerate coding, unblock product and engineering dependencies, and build automation workflows.
  • Work effectively with automated QA tooling and identify gaps in test coverage.
  • Communicate modelling decisions to clients and colleagues, review code and methodology, and support junior colleagues.

Requirements

  • 3–5 years of commercial data science experience with models shipped to production.
  • Strong machine learning knowledge across multiple algorithm families and sound modelling judgement.
  • Strong Python and SQL skills, including production-level software development.
  • Ability to debug independently, understand problems fully, and use AI tooling responsibly.
  • Confident communication with clients and stakeholders as a technical modelling authority.
  • Initiative, attention to detail, and readiness to mentor less experienced colleagues.

Nice to have

  • Bayesian modelling experience, particularly hierarchical models.
  • AWS or comparable cloud tooling experience.
  • Familiarity with automated QA tooling and test coverage practices.
  • Experience with marketing, ecommerce, or advertising data.

Culture & Benefits

  • Published six-level Data Science Career Development Framework with explicit progression criteria.
  • Serious code review and methodology critique focused on model quality.
  • Ownership of modelling methodology and direct impact on client budget decisions.
  • Dedicated time to stay current with industry methodologies.

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