Put your career on the map

Total remuneration: £62,301-£73,353

Pay Supplement: The base salary for this role is £54,262-£63,888. This job qualifies for Digital, Data and Technology Annual Pay supplement 24% is included in the total remuneration above.

Pension: 28.97% (RoS contribution)

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: SEO

Closing date: Thursday 1 October 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 role is about progressing the adoption of data-driven methods, machine learning and 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 semi-structured and structured data, support data-driven decision-making and develop new data products and models. The post-holder will not have initial line management responsibilities, but this may change as the team grows.

On a typical day you will…

• Work closely with a range of colleagues, including product managers, data engineers, subject matter experts, and business analysts to identify, formulate and solve business problems.
• Develop credible rule- or model- based methodologies to discover knowledge, train models, help create data products, data-driven tools and reports and to support data quality improvement activities.
• Explore, analyse and transform complex land and property data in a range of formats and structures and in particular, process semi- or unstructured legal text to detect, classify and extract information.
• Document methodologies to deliver reproducible and explainable work.
• Use suitable evaluation strategies, metrics and error analysis to evaluate outputs.
• Gather feedback and monitor the continued performance and accuracy of outputs, including ML models, as applicable.
• Build understanding of Registers of Scotland data, business processes, strategic objectives and the policy environment in which we operate.
• Draw on government and industry technical/analytical standards and frameworks and adhere to the UK Government data ethics framework.
• Communicate insights and results to technical and non-technical audiences using presentations, data visualisation and data storytelling.
• Build awareness of technical, regulatory and social developments in industry.
• Support development of the team by participating in strategy development, communities of practice, staff management and team capability building.