Senior Data Scientist (Natural Language Processing)

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

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.

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.

• Backend: Java, Python and Spring Boots
• DevOps: AWS. CI/CD, Kubernetes and OpenShift
• Data: Hadoop, Microsoft SQL Server, Pandas, PowerBI, PostgreSQL, Pytorch, Spark, TensorFlow and Tableau