At a Glance
- Tasks: Use data science to solve complex business problems and develop innovative data products.
- Company: Join Registers of Scotland, a leader in land and property registration.
- Benefits: Enjoy 38 days holiday, flexible working, and up to 29% pension contributions.
- Other info: Be part of a diverse team committed to professional development and inclusion.
- Why this job: Make a real impact with data-driven solutions in a supportive, agile environment.
- Qualifications: Experience in data science, machine learning, and strong analytical skills.
The predicted salary is between 41026 - 46968 £ per year.
Pay Supplement: The base salary for this role is £41,026 - £46,968. This job qualifies for Digital, Data and Technology Annual Pay supplement 24% is included in the total remuneration above.
Annual Leave: 38 days annual holiday, increasing to 42 days with length of service.
Duration: Permanent.
Working Pattern: 35 hours per week. We are a flexible employer and will consider a variety of working patterns.
Location: Home / Office hybrid working. Offices in Glasgow and Edinburgh.
Grade: HEO (Higher Executive Officer)
Closing date: 23rd of July 2026 at 23:59
Registers of Scotland (RoS) is an award‑winning organisation recognised for its technology and innovation. RoS is a world‑leading pioneer in land and property registration. We work to create data‑led, digital solutions for the people of Scotland. Our full‑stack teams design, architect, and build all our registration products in‑house.
The Role
This is a new generalist role aimed at growing our data science capability, and the adoption of data‑driven methods (including but not limited to ML/AI) more widely within the business. You will work with a range of colleagues and teams to help solve complex business problems, unlock business insight and value from unstructured, semi‑structured and structured data, support data‑driven decision‑making and develop new data products for internal and external (commercial) customers. The role will have a strong focus on applying advanced analytical techniques to detect, classify, extract and transform semi‑structured data held within legacy systems.
On a typical day you will…
- Work closely with a range of colleagues to identify, formulate and solve business problems using data.
- Explore, analyse and transform complex land and property data from a range of formats.
- Develop credible rule‑or model‑based methodologies to discover knowledge, extract structure from semi‑, un‑ or poorly structured data, automate the creation of model training data, train and/or adapt ML/AI models, develop internal/external data products, data‑driven tools and reports, and monitor data quality.
- Contribute to experiment design, determine suitable evaluation strategies and metrics to evaluate a range of outputs.
- Document methodologies to deliver reproducible and explainable work.
- Gather feedback and monitor the continued performance and accuracy of outputs, as applicable.
- Support development of the team by participating in team development activities, strategic discussions and communities of practice.
- Contribute to the delivery of data science projects using Agile data science methodologies.
- Build understanding of Registers of Scotland data, business processes, strategic objectives and the policy environment in which we operate.
- Communicate insights and results to technical and non‑technical audiences using visualisation and data story‑telling.
- Build awareness of technical and regulatory standards and developments in industry.
This job is for you if you want…
- Work with purpose: we strive to provide the best public service and set the bar for land and property registration worldwide.
- Flexible and hybrid working: work when and where it’s best for you and your stakeholders, depending on the role and team requirements.
- Benefits: enjoy pay progression, pension contributions up to 29%, up to a year’s parental leave, and 38 days annual holiday, increasing to 42 days with length of service.
- Investment in professional development: we invest in all our people so that they have the right skills to be productive and confident in their job.
- Diversity and Inclusion: We are an ‘Investor in People’ and a ‘Disability Confident’ employer. We are inclusive, stronger together, and committed to putting our people first.
- Positive work culture: RoS is an agile, digital organisation using leading‑edge technology. Colleagues understand their role in achieving our strategy and have the autonomy to deliver.
Backend: Java, Python and Spring Boots
DevOps: AWS, CI/CD, Kubernetes and OpenShift
Data Scientist in Edinburgh employer: Registers of Scotland
Registers of Scotland is an exceptional employer, offering a dynamic work environment in the vibrant cities of Edinburgh or Glasgow. With a strong commitment to employee growth and inclusivity, we provide generous benefits and opportunities for professional development, making it a rewarding place for those looking to make a meaningful impact in commercial operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Edinburgh
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We think you need these skills to ace Data Scientist in Edinburgh
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!
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Craft a Tailored Cover Letter:For a full-time role at Registers of Scotland, 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.
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✨Brush Up on Your Statistics
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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.
