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Data Scientist

Job in Newtownabbey, County Antrim, BT36, Northern Ireland, UK
Listing for: Nucleus GIS & ITeS Ltd.
Full Time position
Listed on 2026-06-15
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below

Location:

Remote (UK), Occasional travel

About Us

Inizio Medical is part of Inizio, a global leader in healthcare communications. We help pharmaceutical and healthcare organisations turn complex science into meaningful impact through data, insights, and innovation.

What You’ll Do
  • Execute end‑to‑end data science projects with guidance from senior team members, from problem definition to deployment.
  • Build and optimise machine learning and NLP solutions that drive client decision‑making.
  • Design scalable data pipelines and workflows using structured and unstructured data.
  • Apply LLM APIs to build and enhance analytical and client‑facing deliverables, including prompt design, RAG architectures, and vector search.
  • Source, extract, and normalise data from external APIs (REST and Graph

    QL), handling authentication, pagination, and schema variability; integrate cloud services and modern data platforms into analytical workflows.
  • Create reusable tools and frameworks that scale insights across clients and projects.
  • Review, iterate on, and maintain existing code and analytical outputs to ensure accuracy, reliability, and long‑term maintainability.
  • Partner with senior data scientists, engineers, strategists, and client teams to deliver measurable impact.
What We’re Looking For
  • Extensive experience in Data Science, Machine Learning, applying AI, NLP or related fields.
  • BSc and/or advanced degree in Statistics, Physics, Economics, Mathematics, Computer Science, or a related field.
  • Strong Python and SQL skills; comfortable working with relational database structures including querying, designing schemas, and building data models; experience with data visualization tools (eg Power

    BI, Tableau).
  • Experience building and deploying ML/NLP solutions in production environments.
  • Hands‑on experience with LLMs and GenAI platforms (e.g. OpenAI, Anthropic, Azure OpenAI).
  • Familiarity with RAG, vector databases, prompt engineering, and AI application development.
  • Experience working with cloud platforms (AWS, Azure, or GCP).
  • Strong statistical and analytical foundations.
  • Strong cross‑functional communication skills; able to work across diverse teams, translate between technical and non‑technical stakeholders.
Nice to Have
  • Experience with Spark, Hadoop, Tensor Flow, or large‑scale data processing.
  • Healthcare, pharmaceutical, or life sciences experience.
  • Software engineering and application deployment experience.
Why Join Us?
  • Build AI products that are used in real‑world healthcare settings.
  • Work on cutting‑edge GenAI initiatives with significant autonomy.
  • Remote‑first, flexible working environment.
  • Competitive salary, benefits, and private medical insurance.
  • Collaborative culture focused on innovation, learning, and impact.

If you’re excited about applying machine learning and generative AI to meaningful healthcare challenges, we’d love to hear from you.

We’re dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role, but your experience doesn’t perfectly fit every qualification, we encourage you to apply anyway.

Inizio is committed to providing an environment where everyone has the confidence to be themselves and thrive. For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded in an anonymized format and maintained in a confidential file separate from personnel records.

As set forth in Inizio's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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