Data Scientist

Job Title: Data Scientist Total Remuneration: £50,872 - £58,240 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) Join 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 of 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. To learn more about RoS and the benefits we offer visit our careers pages or watch this short video . Hear directly from our colleagues about their experience of working within our Digital, Data and Technology teams on our website. Our Tech stack * Backend: Java, Python and Spring Boots * Frontend: JavaScript, React and Typescript * DevOps: AWS. CI/CD, Kubernetes and OpenShift * AWS: AWS SNS, Comprehend, EC2, Lambdas, RDS, SageMaker and Textract * Data : Python, PostgreSQL, PostGIS, SpaCy, AWS SageMaker, QGIS, Tableau, PowerBI Click 'Apply' to view the full advert and application process.