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Job description
At DSIT we’re all about improving people’s lives by maximising the potential of science & technology.
We accelerate innovation, investment and productivity through world-class science, research and development.
We use technology for good by ensuring new and existing technologies are safely developed and deployed across the UK, with the benefits more widely shared.
We are driving forward a modern digital government which gives citizens a more satisfying experience and their time back.
We do all this to enable the Government’s 5 national missions: kickstarting economic growth, making Britain a clean energy superpower, taking back our streets, breaking down barriers to opportunity and building an NHS fit for the future.
Above all, we focus on improving people’s lives. Whether it’s researching new treatments for disease, developing better batteries, reducing burdens through better public services, keeping children safe online, and much more, outcomes for citizens are at the heart of what we do.
Our Inclusive Environment
We offer flexible working benefits, employee well-being support and a great pension. We are enormously proud to be a Disability Confident Leader employer. We support candidates with adjustments throughout our recruitment process.
Job description
The Role and Our Team
Building Digital UK (BDUK) is helping to bring fast and reliable broadband and mobile coverage to hard-to-reach places across the UK - transforming people's lives and driving economic growth. This is an exciting opportunity to join a large analytical team and play an important role within the organisation, helping to deliver a high-profile, £5bn infrastructure programme.
Person specification
Key Responsibilities
* Deliver high-quality operational and strategic analysis to support the rollout of gigabit broadband and wider programme objectives.
* Monitor and anticipate supplier behaviour in a dynamic market, developing metrics and analytical insight to inform subsidy allocation, investment decisions, and programme strategy.
* Work with large datasets and data pipelines to design, maintain, and refine areas for intervention.
* Assess proposed investment decisions in the context of programme affordability, expected benefits of connecting premises, and value-for-money considerations.
* Collaborate closely with analytical colleagues and delivery teams to provide clear, robust, and actionable intelligence to stakeholders.
Essential criteria
* Experience working with coding languages
* Strong ability to manage, analyse, and interpret large, complex datasets and data pipelines.
* Ability to communicate complex analysis and outputs effectively to a range of stakeholders.
Please specify the analytical profession that you are a member of/or are applying to be a member of: GES, GORS, GSR, or GSS. Please note, to apply for this role as an Economist, you already need to be GES badged at HEO level.
Qualifications: You must be a full member of one of the following analytical professions: Government Social Research Service (GSR), Government Statistician Group (GSG), Government Economics Service (GES) or Government Operational Research Service (GORS).
Or
You must be able to demonstrate that a) you satisfy the eligibility criteria and b) have the competence, at the required grade (e.g. HEO), for one of the analytical professions.
GSG:
A first- or second-class honours degree (2:2 minimum) in a numerate subject containing taught statistical content (e.g. Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography,) or a higher degree, for example MSc or PhD, in a subject containing formal statistical training (e.g. Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography)
Or you can apply if you have achieved a Level 6 Data Scientist Degree Apprenticeship or have achieved a Level 4 Data Analytics apprenticeship and are able to demonstrate
Continuous Professional Development via a logbook that has been signed off by an existing member of the GSG profession in the role of manager or mentor, covering 2 years in a statistical/data analysis field in government
Or you can apply if you worked in a statistical or data science field and are able to demonstrate Continuous Professional Development (via a logbook) covering a minimum of two years. You will need to evidence how you applied statistics or data science at the same level as a foundation degree or HND (level five) and demonstrates the expected skills as outlined in the GSG Competency framework.
GSR:
For qualification route, must hold an undergraduate degree at a minimum of 2:2. The degree must contain substantial social research methods training (comprising around one-third of modules taken on the course) including quantitative research methods and at least three of the following: systematic/literature reviews; qualitative methods; interpretation of data and presentation of results; study design, hypothesis testing and application of ethics to research.
For professional experience route, must hold an undergraduate degree at a minimum of 2:2 or a degree equivalent (e.g. an advanced Certificate or Diploma from MRS), plus have at least 4 years’ social research practice experience. Social research practice experience consists of experience working in a research agency, market research agency or specialist research team.
GORS:
A degree at 2.1 (or equivalent) or an MSc in a highly numerate subject, or equivalent experience, and be able to demonstrate relevant experience in your career in a relevant profession.
Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.
Desirable criteria
* Proficient in coding languages such as SQL, R, and Python.
* Dashboardingc experience e.g., PowerBI, Looker, Tableau
* Geospatial data experience e.g., ArcGIS, QGIS, R, Python
* Knowledge of UK telecoms market.
Qualifications
Qualifications: You must be a full member of one of the following analytical professions: Government Social Research Service (GSR), Government Statistician Group (GSG), Government Economics Service (GES) or Government Operational Research Service (GORS).
Or
You must be able to demonstrate that a) you satisfy the eligibility criteria and b) have the competence, at the required grade (e.g. HEO), for one of the analytical professions.
Eligibility requirements of the analytical professions can be found here:
GSG:
A first- or second-class honours degree (2:2 minimum) in a numerate subject containing taught statistical content (e.g. Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography,) or a higher degree, for example MSc or PhD, in a subject containing formal statistical training (e.g. Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography)
Or you can apply if you have achieved a Level 6 Data Scientist Degree Apprenticeship or have achieved a Level 4 Data Analytics apprenticeship and are able to demonstrate
Continuous Professional Development via a logbook that has been signed off by an existing member of the GSG profession in the role of manager or mentor, covering 2 years in a statistical/data analysis field in government
Or you can apply if you worked in a statistical or data science field and are able to demonstrate Continuous Professional Development (via a logbook) covering a minimum of two years. You will need to evidence how you applied statistics or data science at the same level as a foundation degree or HND (level five) and demonstrates the expected skills as outlined in the GSG Competency framework.
Behaviours
We'll assess you against these behaviours during the selection process:
Delivering at Pace
Seeing the Big Picture
Communicating and Influencing
Technical skills
We'll assess you against these technical skills during the selection process:
Competency- GES: Analysis of data; GORS: Knowledge and application of OR; GSR: Analysis & interpretation; GSS: Data analysis. Please refer to the relevant professional competency framework.
Competency- Further details will be provided after the initial sift for the technical skills to be tested at interview. This allows for specific requirements to be incorporated depending on the mix of professions who are successful at the sift stage.
We only ask for evidence of these technical skills on your application form:
Competency- GES: Analysis of data; GORS: Knowledge and application of OR; GSR: Analysis & interpretation; GSS: Data analysis. Please refer to the relevant professional competency framework
