Data Scientist in Glasgow

Data Scientist in Glasgow

Glasgow Full-Time 30000 - 50000 ÂŁ / year (est.) No home office possible
Staffscanner

At a Glance

  • Tasks: Design and test hypotheses to drive data-driven decisions in health care staffing.
  • Company: Family-owned leader in temporary staffing for health and social care based in Glasgow.
  • Benefits: 30 days holiday, private health care, cycle2work scheme, and more.
  • Why this job: Make a meaningful impact in the care sector while working with innovative data solutions.
  • Qualifications: 5+ years in Data Science, strong statistical knowledge, and proficiency in Python or R.
  • Other info: Join a diverse team that values collaboration, innovation, and continuous improvement.

The predicted salary is between 30000 - 50000 ÂŁ per year.

Location: Glasgow

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

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.

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.

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 Staffscanner and help us continue to revolutionise 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.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Health Care Provider

Industries: Hospitals and Health Care

Data Scientist in Glasgow employer: Staffscanner

At Staffscanner, we pride ourselves on being a family-owned leader in temporary staffing for health and social care, located in the vibrant Glasgow City Centre. Our commitment to employee wellbeing is reflected in our generous benefits package, including 30 days of holiday and private healthcare, while our collaborative work culture fosters growth and innovation. As a Data Scientist, you will have the opportunity to make a meaningful impact in the care sector, mentoring junior analysts and contributing to a data-driven culture that values every team member's input.
Staffscanner

Contact Detail:

Staffscanner Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist in Glasgow

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Staffscanner. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those that highlight your ability to turn complex data into actionable insights. This will give you an edge when you’re chatting with potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and practising common data science questions. But don’t forget to also think about how you can demonstrate your fit with Staffscanner’s values – they’re looking for team players who care!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Staffscanner family!

We think you need these skills to ace Data Scientist in Glasgow

Statistical Knowledge
Hypothesis Design and Testing
Python
R
SQL
Machine Learning Techniques
Data Analysis
Data Visualisation
Communication Skills
Presentation Skills
Problem-Solving Skills
Curiosity
Adaptability
Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with statistical modelling, machine learning, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for Staffscanner. Share your passion for health care and data-driven decision-making, and don’t forget to mention how your values align with ours. We love a good story!

Showcase Your Technical Skills: Be sure to include your proficiency in Python or R, SQL, and any modern data science libraries you've worked with. We’re looking for someone who can hit the ground running, so let us know what tools you’re comfortable using.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Staffscanner!

How to prepare for a job interview at Staffscanner

✨Know Your Data Science Stuff

Make sure you brush up on your statistical knowledge and machine learning techniques. Be ready to discuss how you've applied these skills in real-world scenarios, especially in a commercial setting. Prepare examples that showcase your ability to design and test hypotheses.

✨Translate the Complex

Since you'll need to communicate insights to non-technical stakeholders, practice explaining complex analyses in simple terms. Think of a few key projects where you successfully distilled findings into actionable recommendations and be ready to share those stories.

✨Show Your Curiosity

Demonstrate your curious mindset during the interview. Be prepared to discuss how you've challenged assumptions in past roles and what innovative solutions you've proposed. This will show that you're not just about the numbers but also about driving meaningful change.

✨Cultural Fit Matters

Familiarise yourself with Staffscanner's values and think about how your personal values align with theirs. Be ready to discuss how you can contribute to a collaborative environment and promote a data-driven culture within the organisation.

Data Scientist in Glasgow
Staffscanner
Location: Glasgow

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