Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$64к$79кмедиана$107к
50 в выборке
На СНГ рынке: $4.2к/мес ($3.6к - $5к)
78
Хорошая вакансия
развернуть
Роль описана понятно: предстоит работать с ML-моделями в продакшене, а среди плюсов есть бюджет на обучение. Но без указанной зарплаты сложно оценить условия относительно рынка.
Кликните для подробной информации
Зарплата не указанаАктуальные технологииПонятные задачиБюджет на развитие
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (Python/SQL): Building predictive data science products for pricing, recommendations, and other business domains with an accent on practical machine learning, experimentation, and commercial decision-making. Focus on developing production models, monitoring performance, and translating ambiguous business problems into reliable solutions.
Location: London, United Kingdom; hybrid working arrangement
Company
hirify.global is a travel technology company helping customers discover and book holidays through broad choice, ease, and value.
What you will do
Build and improve data science products for pricing, recommendations, and other business domains.
Translate ambiguous business problems into practical solutions through exploration, modelling, experimentation, and evaluation.
Partner with engineers, analysts, and product teams to deploy reliable models and embed recommendations into decision-making.
Monitor model performance, investigate changes, and continuously improve solutions as customer behaviour and business needs evolve.
Communicate findings clearly, challenge assumptions, and support evidence-based commercial decisions.
Requirements
Strong experience developing and delivering practical machine learning solutions.
Proficiency in Python and SQL, with experience working with large and complex datasets.
Strong grounding in statistics, experimentation, machine learning, model evaluation, and causal thinking.
Experience collaborating with engineers to deploy, monitor, and improve production models.
Strong communication skills for explaining technical concepts and influencing product and commercial decisions.
Culture & Benefits
Hybrid work within the London-based organisation.
5% company pension contributions.
Individual training budget for professional development.
25 days of annual leave plus 8 public holidays, increasing with service up to 30 days.
Ability to buy and sell annual leave, plus discounted holidays for employees, family, and friends.
Electric vehicle salary sacrifice scheme, cycle-to-work scheme, season ticket loan, and eye care vouchers.
Hiring process
30-minute introductory call with Talent Acquisition.
Virtual hiring manager interview followed by two on-site interviews, including a project discussion and technical case-study discussion.
45-minute virtual final-stage interview with key stakeholders.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →