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Data Scientist

Job in Liverpool, Merseyside, L1, England, UK
Listing for: Experis Scotland
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Liverpool

If you want to be part of a team that’s actually building something new, not just maintaining old models - this could be a great fit! A Financial Services Company is investing heavily in its Data Science & AI capability, and we’re looking for an experienced Data & AI Scientist to help shape that journey.

What you’ll be doing
  • Building and delivering real ML, AI and GenAI solutions end‑to‑end
  • Spotting high‑value opportunities for analytics and automation
  • Influencing how Data Science is done across the organisation
  • Working closely with engineering and architecture teams to get models into production
  • Experimenting with new techniques and championing best practice
  • Helping develop a modern, forward‑thinking Data Science culture
What you’ll bring
  • Strong Python and SQL skills
  • Solid experience with ML frameworks (scikit‑learn, XGBoost, PyTorch, Tensor Flow)
  • Experience taking ML/AI/GenAI models into production
  • Good understanding of LLMs, RAG, embeddings, vector databases
  • Familiarity with MLOps tools (MLflow, CI/CD, containers, model monitoring)
  • Cloud experience (Azure, AWS or Snowflake)
  • Ability to communicate clearly with non‑technical stakeholders
  • Financial services experience is a bonus, not a must
Benefits (short + sweet)

You’ll get a strong overall package, including:

  • Private medical cover
  • 25 days holiday (with options to buy more)
  • Flexible working and hybrid setup
  • Access to share plans
  • Support for professional development and learning
Why it’s a great time to join
  • The Data Science function is growing and you get to help shape it
  • Plenty of space to innovate and influence direction
  • The business is genuinely committed to investing in AI
  • High‑impact work with visibility across the organisation
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