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2 часа назад

Fullstack Data Scientist (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Fullstack Data Scientist (AI) (Python/SQL/dbt): Building the end-to-end data stack for an enterprise AI platform, including ETL pipelines, analytics models, predictive systems, monitoring, and self-serve data products with an accent on production-grade data infrastructure and AI-friendly semantic layers. Focus on designing reliable real-time pipelines, shipping churn and forecasting models, creating LLM-queryable data structures, and automating metric monitoring and downstream workflows.

Location: London, United Kingdom

Company

hirify.global is an enterprise AI platform that automates workflows for major financial institutions and helps produce and validate client-ready work.

What you will do

  • Build and maintain Python-based ETL pipelines and API integrations into Redshift, with orchestration through GitHub Actions.
  • Develop documented dbt models, business metrics, customer health signals, financial KPIs, and a scalable semantic layer for LLM queries.
  • Ship production-ready predictive models for churn, usage forecasting, anomaly detection, and upsell signals.
  • Build Looker dashboards, self-serve analytics, and proactive alerting for operational and product metrics.
  • Use AI coding tools and contribute to internal data products that power AI agents.
  • Partner with founders, engineering, product, and go-to-market teams to provide data-led recommendations and define analytics strategy.

Requirements

  • 4+ years of experience across full-stack data work, including ETL, modeling, analytics, and predictive analysis.
  • Strong Python, SQL, and dbt experience.
  • Strong academic background and excellent communication skills.
  • Experience building systems from scratch in a startup, or a strong desire to do so.
  • Comfort using AI coding tools daily and working with ambiguity, tight timelines, and shifting priorities.

Nice to have

  • Experience with Redshift, GitHub Actions, and AWS.
  • Experience building anomaly detection or metric monitoring systems.
  • Experience with LLMs or data layers designed for AI agents.

Culture & Benefits

  • Direct collaboration with founders who have two successful venture-backed exits.
  • Competitive salary, equity, and performance-based incentives.
  • Opportunity to contribute to expansion into the APAC market.
  • High-ownership, high-velocity environment with changing priorities and demanding timelines.
  • Supportive and innovative work environment.

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