4 дня назад
Lead Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (AI): Leading a team of four to own LoopMe's AI throttling system and end-to-end AI product lifecycle with an accent on production ML, causal measurement, and commercial impact. Focus on bridging technical data science strategy with business operations and senior leadership reporting.
Location: Must be based in London, UK (Hybrid: 3 days/week in Farringdon office)
Company
is an AI-driven advertising platform that processes billions of consumer signals in real-time to optimize brand advertising outcomes.
What you will do
- Own the end-to-end roadmap, modeling strategy, and production performance of the AI throttling system.
- Lead and mentor a team of four data scientists and ML engineers.
- Manage the full product lifecycle for AI products from identification to launch and iteration.
- Partner with commercial and operations teams to embed AI products into business processes.
- Establish evidence-led reporting on progress and commercial impact for senior leadership.
- Review model logic, system design, and code to maintain high technical standards.
Requirements
- Strong commercial experience in data science, machine learning, or applied AI.
- Proven track record of owning AI/ML products from idea to production and measured impact.
- Experience leading or managing technical teams.
- Deep understanding of experimentation, causal measurement, and production ML realities.
- Strong proficiency in Python, SQL, and data engineering.
- Must be able to work from the London office 3 days per week.
Nice to have
- Experience with adtech, real-time bidding, or auction systems.
- Familiarity with Google Cloud, Docker, Kafka, Spark, Airflow, or ClickHouse.
- Experience managing cross-functional delivery across distributed teams.
Culture & Benefits
- Hybrid working model with 3 days in the Farringdon office.
- 25 days annual leave plus Bank Holidays.
- 1 month of work-from-anywhere flexibility per year.
- Comprehensive health plan (Health Shield) and mental health support (Thrive).
- Learning and development support with bi-annual promotion cycles.
- Annual Wellness Day and Cycle to work scheme.
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 →