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Data Science Practitioner

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Skillfinder International
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Data Science Practitioner (140067-1)

Data Science Practitioner – AI & Data Team

An exciting opportunity has opened within our AI & Data team for a talented Data Science Practitioner to support a major financial services project within the Glasgow/Bournemouth Delivery Unit. This role offers the chance to work on high-impact initiatives that shape decision-making across a large, global organisation.

What You’ll Be Doing
  • Designing, developing, and delivering AI/ML-based decision-making frameworks and models that drive measurable business outcomes.

  • Evaluating and articulating the value of AI/ML solutions to stakeholders.

  • Acting as a subject matter expert while guiding and supporting a high-performing team.

  • Leading team decisions, collaborating across multiple groups, and contributing to strategic technical direction.

  • Building innovative AI/ML models that enhance insights and operational efficiency.

  • Integrating AI/ML solutions into existing systems and workflows in partnership with cross-functional teams.

  • Conducting rigorous assessments of AI/ML frameworks to ensure alignment with business objectives.

  • Staying current with emerging trends in AI/ML to continuously improve solution quality.

  • Mentoring team members on best practices in machine learning, data science, and model development.

What We’re Looking For
  • Advanced proficiency in Machine Learning (P3 – Advanced).

  • Strong experience in Data Science, with the ability to design and evaluate complex models.

  • Intermediate experience with Amazon Sage Maker
    .

  • Familiarity with Retrieval-Augmented Generation (RAG),
    Software Development Life Cycle (SDLC), and Model Context Protocol (MCP).

  • A collaborative mindset with the ability to influence decisions across multiple teams.

  • Strong communication skills and the confidence to act as a technical leader.

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