Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Staffscanner
Glasgow
3 days ago
Create job alert

Location: Glasgow (Hybrid Considered)

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.

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Palantir

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.