Revolut.com

🌍 Удалённо IT и разработка 07.06.2025 · 👁 10 000 просмотров
Куда? : Revolut.com Location & Fork (base salary for Mid-Senior, from Glassdoor): ES (80-90-110k eur), PT (75-90-105k eur), PL (260-310-380k pln), DE (85-95-125k eur), UK (95-115-140k gbp), UAE (320-390-500k aed) Формат работы : full remote, unless you want to visit an office; relocation and visa Позиции : Product Owner - Release Platform: - Own the system that runs every feature rollout, A/B test, and progressive deployment at Revolut Product Owner - Process Automation (LLM & Agents) - Design and scale an agent-based platform that turns manual workflows into autonomous processes orchestrated by LLMs Python and Web Engineers in several teams: - Customer Behaviour Analytics - high-scale event-analytics platform for front-end data - Computer Vision Platform - pipelines for large-scale CV models - ML and LLM Operations - ML governance and lifecycle platform, and LLM agentic framework Data Scientist - LTV Modelling: - Predict customer lifetime value and uplift modelling Deep Learning Engineers in several teams: - Language Models - domain specific LLMs, agentic workflows - Time-Series Models - large-scale transaction and time-series foundation models - Computer Vision - detection, OCR, multimodal models, fraud, and many other tasks Требования к кандидату : - Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering, Economics) - Excellent knowledge of data science tools, including, python coding, SQL and production tools - Deep understanding of fundamentals of probability and statistics - Big picture thinking, problem solving - correctly diagnosing problems and productionising research - Excellent communication and collaboration skills to partner with Product Owners and business heads - For Product Owners - Experience building and leading a significant data science team within a scaling organisation Ответы на 10 важных вопросов : 1 Данные : Daily we onboard 50k+ new customers, 10m+ DAU ,25m+ WAU, Transactions, Front end, and many other data sources 2 Железо : GCP, and some Hyperscalers which cannot be mentioned 3. Масштаб влияния : Flat structure, ownership culture, rapid decision-making 4. Уровень развития DS: Good enough, ML is everywhere, without it we would be just another high old-fashioned bank 5. Роль DS : End-to-end, they are autonomous problem solvers 6. Бэкграунд руководителя : linkedin + Line manager background: In platform teams, they will always be with a DS background. In customer facing products, you will have Line manager with business background, and Functional manager with DS background. 7. Как часто вам будут мешать работать? You will never be interrupted - unless you consider communication itself an interruption 8. Карьерный рост : Flat structure and ownership culture give you a unique opportunity to get more ownership, more ownership you have - faster you grow 9. Prod/Research: We do not have KPI for publishing papers, we solve problems 10. Функция сервиса/лидера: DS is not a service 📧 Резюме направляйте на почту pavel.nesterov@revolut.com ✈️ Вопросы -> @archduke_mephistopheies
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