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4 дня назад

Senior Data Scientist

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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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Python/SQL): Building and deploying predictive models and experimentation frameworks for audience growth, retention, forecasting, and commercial performance with an accent on machine learning, A/B testing, causal inference, and cloud data platforms. Focus on operationalising models, designing scalable analytics solutions, and translating complex data science into measurable business value across nine European markets.

Location: London, United Kingdom; hybrid with 1–2 days per week onsite

Company

hirify.global is a family-owned European media business operating publishing, audio broadcasting, radio, podcast, and entertainment brands across nine countries.

What you will do

  • Build predictive models for audience engagement, retention, forecasting, and commercial performance.
  • Design and embed experimentation frameworks, including A/B testing and causal inference.
  • Partner with Digital Media, Revenue Management, Marketing, Consumer Promotions, and other stakeholders to identify measurable data science opportunities.
  • Design, build, deploy, and maintain scalable data-driven solutions using custom, open-source, and off-the-shelf technologies.
  • Support model deployment and operationalisation with engineering teams.
  • Mentor junior team members and promote coding standards, documentation, peer review, and best practices.

Requirements

  • Strong commercial experience in a Data Science role.
  • Advanced Python and SQL skills.
  • Experience building and deploying machine learning models.
  • Strong stakeholder management and communication skills.
  • Experience with cloud data platforms such as Snowflake, BigQuery, or Redshift.
  • Familiarity with dbt and modern analytics workflows, combined with a pragmatic, business-focused approach.

Nice to have

  • Experience in Digital Media, Revenue Management, Gaming, or Consumer Promotions.
  • Experience with personalisation, segmentation, or marketing technology platforms.
  • Knowledge of Tableau, Braze, Rudderstack, or Adswizz.

Culture & Benefits

  • 28 days of holiday, bank holidays, and 2 volunteer days.
  • Access to Bauer Academy and internal training opportunities.
  • Enhanced maternity/adoption, paternity, and shared parental leave pay.
  • Flexible working options.
  • Inclusive and accessible recruitment process with reasonable adjustments available.

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