2 часа назад
Fullstack Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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