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Ethiq

Data Science Lead (AI)

London
£100k – £140k/yr
Posted 1 day ago
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Data Science Lead (AI)

Lead Data Scientist / AI Lead

We are seeking a technically-grounded Lead Data Scientist / AI Lead to lead the AI transformation of a global, multi-billion dollar professional Legal services leader. This isn't a traditional "statistical" data science role; it is a builder’s role focused on engineering production-ready AI products.

The organisation is currently investing tens of millions of pounds into its technology stack to redefine how its global workforce delivers high-stakes services. You will lead a high-performing team to commercialize business ideas into functional products using Large Language Models (LLMs), NLP, and Agentic workflows.

What You’ll Do

  • Lead the development of document-heavy AI applications, utilizing RAG LLM orchestration, and autonomous agents to navigate decades of complex case data.
  • Move beyond POC's to ship scalable, production-grade tools that directly impact the firm’s commercial success.
  • Act as the technical bridge between advanced engineering and high-level stakeholders (including legal and financial partners), requiring an ability to explain complex tech in a service-based environment.
  • Mentor and guide a team of engineers while remaining hands-on with Python-based technical challenges and architectural decisions.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Who You Are

  • You have a strong foundation in software engineering or machine learning engineering, with deep experience in applied AI rather than purely academic research.
  • You likely have a background in services-based corporate environments such as Financial Services (Banking/FinTech), Insurance, or top-tier technical consultancies.
  • Expert-level knowledge of Python, LLM APIs (OpenAI/Anthropic), NLP, and modern data-driven architectures.
  • A strong academic record from a top-tier institution (e.g., LSE, Cambridge, Oxford, Imperial) is highly desirable.
  • You possess the ability to work with sophisticated stakeholders and the ability to turn abstract business requirements into technical reality.

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Why Join?

  • Work on the most significant technological shift in the history of the professional services sector.
  • Access the resources and data of a 10,000-person global firm while maintaining the agility of a dedicated product team.
  • Benefit from a culture that is dramatically more flexible regarding office time than traditional financial services or legal firms.
  • Help build out a new powerhouse of tech within an established global brand.
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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

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Skills

Python
Large Language Models
NLP
AI Engineering
Software Engineering
Machine Learning
Data Architecture
Technical Mentorship
Stakeholder Communication
Document Processing
RAG LLM Orchestration
Agentic Workflows
Production-Grade Tools
Complex Case Data
Technical Consulting
Business Requirements

Location

London, England, United Kingdom

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