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Jack & Jill AI

Data Scientist, AI Agents (£60–100k + Equity) at Arctal

Posted Yesterday
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Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
The Data Scientist will manage AI agents to process and transform financial data, build data pipelines, and ensure data reliability and validation.
The summary above was generated by AI

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network

The next step is to speak to Jack.

Job Title: Data Scientist, AI Agents

Salary: £60–100k + Equity

Company Description: Arctal - AI startup building high-fidelity financial datasets

Job Description:
You will act as a super-IC managing a fleet of AI agents to transform 100,000+ unstructured financial PDFs into clean, queryable data for institutional buyers. This role sits at the intersection of data science and engineering, requiring you to design agentic workflows, prompt chains, and validation logic to ensure professional-grade accuracy at scale.

Location: London, UK

Why this role is remarkable:

  • Work at the frontier of agentic workflows, using tools like Claude Code and Cursor to automate the extraction of complex data that was never meant to be machine-readable.

  • Join a elite team of five with the output of fifty, founded by industry veterans from Secondmind and Sylvera with deep roots in Cambridge ML research.

  • Enjoy high-intensity growth and direct exposure to institutional customers like asset managers and banks, with meaningful equity in a fast-shipping startup.

What you will do:

  • Design and maintain agent-led data pipelines using prompt chains and human-in-the-loop checkpoints to ensure 100% data reliability.

  • Build validation logic in Python and SQL that encodes your expert judgement to catch the edge cases and hallucinations AI agents might miss.

  • Debug and optimize complex data ingestion and transformation systems, acting as the final line of defense before data reaches global financial clients.

The ideal candidate:

  • Possesses 1–5 years of experience as a data scientist or analytics engineer with a track record of building production-grade data pipelines, not just querying tables.

  • Is an AI-native practitioner who uses agentic coding tools like Cursor or Claude Code for real-world engineering tasks rather than simple chat experiments.

  • Demonstrates an obsessive attention to detail and technical depth in Python, SQL, and terminal environments, with a passion for defining "ground truth" in messy datasets.

Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Top Skills

Claude Code
Cursor
Python
SQL

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