Join an elite technical team in Old Street as a data-obsessed super-IC. You will architect and manage a fleet of AI agents designed to deliver high-fidelity, reliable datasets at scale. This role bridges the gap between raw data and actionable intelligence, fundamentally changing how enterprises ingest and transform information.
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Data Scientist, AI Agents at Arctal
Are you ready to move beyond traditional analysis and start managing a fleet of AI agents? This stealth-mode AI data company in London is reimagining the entire data stack. As a Data Scientist, you will own the orchestration of autonomous agents to deliver high-fidelity datasets at scale. Located in Old Street, this role offers £60k–100k plus equity for a data-obsessed super-IC who wants to build the future of agentic workflows. If you have 1–5 years of experience and a passion for LLM automation, this is your chance to join a high-growth team with a radical vision for the data industry.
About this role
Role overview
About the company
Arctal
Stealth-mode AI data company reimagining data infrastructure through autonomous agent workflows
What you'll do
What you will do
- Manage and optimize a fleet of autonomous AI agents to ensure the delivery of high-quality, reliable datasets for global clients.
- Design and implement sophisticated prompts and agentic logic to solve complex data extraction and transformation challenges.
- Partner closely with Data Infrastructure Engineers to scale AI-driven data pipelines and maintain rigorous data integrity standards.
Who you are
Who this is a fit for
- 1–5 years of professional experience in data science or a highly technical analytical role within a fast-paced environment.
- Deeply data-obsessed with a proven track rate of building or managing automated systems, specifically leveraging LLMs or agentic frameworks.
- Strong technical proficiency in Python and modern data tools, with the ability to navigate complex datasets and infrastructure independently.
Why this role
Why this role is remarkable
- Work at the bleeding edge of AI agentic workflows where you don't just analyze data—you build the systems that generate it.
- High-impact opportunity to join a mission-driven team with a radical manifesto on the future of data infrastructure and human-AI collaboration.
- Collaborative in-office culture in the heart of London's tech hub (Old Street), offering significant equity and direct influence on product direction.
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