Data Scientist

Staffscanner
Glasgow
2 days ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Contract - 12 months

Data Scientist (Globally Renowned Retail Group)

Join Staffscanner: Revolutionizing Temporary Staffing in Health and Social Care!

Location: Glasgow

Job Title: Data Scientist

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

Tell Me More

About Us

Staffscanner 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.

Why We're Different:

  • Innovative Technology: Our unique app has revolutionized staffing for care homes, the NHS, and private clinics since 2017.
  • Proven Success: Connecting over 50,000 high-quality candidates with trusted clients, we've filled millions of hours and received raving reviews.
  • People First, Visionary Approach: We're more than just an app — Staffscanner is driving a sustainable, efficient, and quality-focused shift in care staffing by breaking down barriers and raising standards, one shift at a time.

Our Values

At Staffscanner, we believe that caring about quality leads to quality care and our values are the foundation of everything we do.

  • We put people first, recognizing 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.


About the Role: As a senior Data Scientist, you will be at the heart of Staffscanner’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.


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 Staffscanner and help us continue to revolutionize care staffing!


At Staffscanner, 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.