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Data Scientist

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Staffscanner
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below

Location:

Glasgow

Job Title:

Data Scientist

Benefits: 30 days holiday, company sick pay, private health care, cycle2work scheme and more

Staff scanner is a leader in temporary staffing for health and social care. Family‑owned and based in Glasgow City Centre, we proudly serve clients and candidates across the UK in care homes, hospitals and at home.

About the Role

As a senior Data Scientist, you will be at the heart of Staff scanner’s data‑driven decision‑making. You will design and test hypotheses, run experiments, and extract the “so what”, the actionable insights that shape commercial and strategic decisions. Your role will help us better understand our candidates, clients, and operations, directly influencing growth, efficiency, and innovation.

Key Responsibilities
  • Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams.
  • Develop and test hypotheses to solve critical business challenges.
  • Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency.
  • Translate complex analyses into clear, actionable insights for non‑technical stakeholders.
  • Build dashboards and data products that track key business and client metrics.
  • Identify opportunities to improve recruitment efficiency, workforce deployment, and service delivery through data.
  • Ensure data quality, integrity, and compliance across all sources.
  • Mentor junior analysts and contribute to building a data‑driven culture across the organisation.
Skills Required
  • 5+ years’ experience in a Data Science role, ideally in a commercial or technology‑driven business.
  • Strong statistical knowledge and ability to design and test hypotheses.
  • Proficiency in Python or R, SQL, and modern data science libraries.
  • Experience with machine learning techniques and real‑world application.
  • Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations.
  • Strong communication and presentation skills with both technical and non‑technical audiences.
  • A curious mindset, with the ability to challenge assumptions and see beyond the data.
  • Experience working in fast‑paced environments where priorities shift quickly.
Values
  • We put people first
    , recognising that our success is driven by the dedication and care of our staff and the wellbeing of those they serve.
  • We improve as a team
    , fostering a collaborative environment where everyone’s contributions are valued and collective growth is celebrated.
  • We take ownership
    , ensuring accountability and pride in our work.
  • We treat everyone with dignity and respect
    , creating an inclusive culture where every individual feels valued and heard.
  • We listen and take action
    , committed to responding to feedback and continuously enhancing our services.
  • We never stop improving
    , embracing innovation and striving for excellence in all we do without letting the pursuit of perfection hinder progress.

If you are passionate about health care, commercial problem solving and want to make a meaningful impact in the care sector, we would love to hear from you. Apply now to join Staff scanner and help us continue to revolutionise care staffing!

At Staff scanner, diversity, equity, and inclusion are core to our mission. We create an environment where diverse perspectives are celebrated, and everyone is empowered to excel. We ensure equitable processes and welcome applicants of all backgrounds, valuing ethnicity, religion, sexual orientation, gender identity, family status, national origin, veteran status, neurodiversity, and disability. Our commitment to these principles drives our success and innovation in the care industry.

Seniority

level

Mid‑Senior level

Employment type

Full‑time

Job function

Health Care Provider

Industries

Hospitals and Health Care

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