Data Scientist in Glasgow

Data Scientist in Glasgow

Glasgow Full-Time 30000 - 50000 £ / year (est.) On-site
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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.
  • Other info: Join a diverse team that values collaboration, innovation, and continuous improvement.
  • 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.

The predicted salary is between 30000 - 50000 £ 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 an excellent employer for Chefs seeking meaningful work in care homes across Scotland. Our flexible shift options allow you to balance your personal commitments while enjoying competitive pay and a supportive team environment that values your contributions. With regular opportunities and a focus on employee growth, you'll find a rewarding career where your culinary skills truly make a difference in the lives of residents.

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Contact Details:

StaffScanner Recruitment Team

StudySmarter Expert Advice🤫

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

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like StaffScanner!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at StaffScanner.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like StaffScanner.

✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist at StaffScanner, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

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

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at StaffScanner, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at StaffScanner. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at StaffScanner

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at StaffScanner!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.