Data Analyst

Hydrogen
Liverpool, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Governance Python (Programming Language) Machine Learning Cloud Services Sql Optimization Large Language Models Generative AI Git Pure Data Data Analytics Data Management

Job description

Senior Data Analyst AI Governance & Emerging Technologies

Liverpool, London or Glasgow (Hybrid)

I’m working on a genuinely unique opportunity for a Data Analyst who is excited by the future of AI and wants to help shape how organisations govern, monitor and responsibly adopt AI technologies.

This isn’t a traditional reporting-focused Data Analyst position.

The successful candidate will sit within a Data Governance function and play a key role in helping design frameworks, controls and monitoring approaches for AI systems, AI-generated data and AI-assisted workflows as adoption accelerates across the business.

We’re looking for someone who combines strong analytical capability with a genuine interest in Machine Learning, Generative AI and emerging technologies.

  • Advanced SQL and Python skills
  • Experience working with Machine Learning concepts and models
  • Understanding of Generative AI, LLMs and AI-assisted development tools
  • Data Governance, Data Quality or Data Management experience
  • Ability to work with stakeholders and translate complex concepts into practical solutions
  • Curiosity and the ability to solve problems where there isn’t an established blueprint

Highly desirable:

  • Experience working with cloud data platforms
  • Exposure to AI governance, model governance, risk or control frameworks
  • Familiarity with Git, testing principles and structured development practices

This role would suit someone who enjoys asking questions such as:

  • How should organisations govern AI systems?
  • What data should be captured from AI agents?
  • How do we monitor AI-generated outputs?
  • What controls are needed to ensure responsible AI adoption?

The hiring team is particularly interested in candidates who can bridge the gap between data analytics, technology and governance, rather than those focused purely on dashboard development or pure data science.

If you’re a Data Analyst with strong Python skills, exposure to Machine Learning and AI, and you’re interested in working at the forefront of AI governance, I’d be keen to speak with you.

Requirements

We’re looking for someone who combines strong analytical capability with a genuine interest in Machine Learning, Generative AI and emerging technologies.

  • Advanced SQL and Python skills
  • Experience working with Machine Learning concepts and models
  • Understanding of Generative AI, LLMs and AI-assisted development tools
  • Data Governance, Data Quality or Data Management experience
  • Ability to work with stakeholders and translate complex concepts into practical solutions
  • Curiosity and the ability to solve problems where there isn’t an established blueprint

Highly desirable:

  • Experience working with cloud data platforms
  • Exposure to AI governance, model governance, risk or control frameworks
  • Familiarity with Git, testing principles and structured development practices

Apply for this position

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Prepare application

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