statisticsllmmachine learningprobabilityreal time systemsroutingoperations researchgeospatial datacombinatorial optimization
Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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£55к£76кмедиана£110к
По похожим ролям (50) ~ £76к/год
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Роль четко определена с ясным акцентом на науку о данных и машинное обучение, но отсутствие информации о зарплате затрудняет оценку общей привлекательности.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI): Building and implementing machine learning models in production, focusing on predicting ETAs, dispatching requests, and pricing journeys to maximize demand & supply. Focus on algorithm design, implementation, and delivery of proofs of concept into products.
Location: London, England, United Kingdom. Office-based in West London four days per week, with one remote day of choice.
Salary: £90,000–£110,000 per year.
Company
hirify.global provides premium chauffeured transportation across major cities in Europe, the US, and the Middle East.
What you will do
Collaborate with engineers, designers, and product managers to solve ambiguous, high-impact problems.
Research, prototype, and deploy machine-learning models into production.
Improve existing algorithms and identify opportunities for new ones.
Work on ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving-style prediction, and LLM integration.
Contribute to Mapping, Matching, Pricing, or Supply initiatives.
Requirements
Strong academic background in a STEM field.
At least 2 years of experience in Data Science or Machine Learning for mid-level roles, or at least 5 years for senior roles.
Strong foundation in probability and statistics.
Ability to work from the London office four days per week.
Nice to have
Experience with geospatial data or routing.
Background in operations research or combinatorial optimization.
Experience deploying real-time or latency-sensitive machine-learning systems.
Culture & Benefits
Flexible start and finish times.
One remote workday per week of choice.
Employee stock options plan.
Private medical and dental insurance, plus life and critical illness cover.
MacBook Pro, 4K display, professional development stipend, travel credit, and Cycle to Work scheme.
Relocation support, including visa sponsorship and an allowance.
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