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6 дней назад

Data Science Lead (Recommendation Systems)

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

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TL;DR

Data Science Lead (Recommendation Systems): Building and leading a commercial and transactional data science squad to design and deliver recommendations for product discovery and personalized patient experiences, with an accent on model experimentation, iteration, and production readiness. Focus on translating commercial goals into data science roadmaps, partnering with product and engineering, and ensuring real-world impact through scalable solutions.

Location: Hybrid setup in London, requiring 3 days a week in the Old Street office. Role is based in the UK.

Company

hirify.global is a rapidly growing digital healthcare company focused on long-term care and weight management, aiming to support 1 million patients globally.

What you will do

  • Build and lead a data science squad focused on transactional and commercial recommendation systems.
  • Design, experiment with, and iterate on recommendation models.
  • Translate product and commercial goals into concrete data science roadmaps.
  • Partner closely with product and engineering teams to influence technical direction.
  • Support production-ready data science including feature definition, model handover, monitoring, and iteration.
  • Set technical standards and best practices for experimentation, model evaluation, and deployment within the squad.

Requirements

  • 8+ years’ experience in data science, applied ML, or advanced analytics, including prior technical or people leadership.
  • Experience building and iterating on recommendation, ranking, or personalisation systems.
  • Strong foundations in statistics, machine learning, feature engineering, and model evaluation.
  • Hands-on experience with Python, SQL, and modern ML libraries.
  • Exposure to production ML environments and collaboration with ML / data engineering teams.
  • Ability to clearly communicate technical ideas to product and non-technical stakeholders.
  • English: B2 required.

Culture & Benefits

  • Your own stake in the business with our employee options program.
  • Annual development budget plus 3 days of professional development leave.
  • Hybrid setup with 3 days a week in our Old Street office, designed for focus and collaboration.
  • Monthly wellness allowance or vitality private health insurance.
  • 25 days of holiday, bank holidays, and enhanced parental leave.
  • A vibrant office culture with regular socials, clubs, after-school sport, and seasonal events.

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