Principal Geospatial Data Analyst

The Scottish Government
Edinburgh
19 hours ago
Create job alert

Join to apply for the Principal Geospatial Data Analyst role at The Scottish Government


Provided pay range

This range is provided by The Scottish Government. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Are you passionate about using geospatial data to drive innovation and improve outcomes across Scotland? The Geographic Information Science and Analysis Team (GI-SAT) sits within the Data Division of the Digital Directorate. Our vision is a planning system that uses data insights and analytics to learn from the past and models the future to support evidence-based policy development and outcomes, ensuring that the planning system becomes an enabler of sustainable development, supporting our net zero interests and bringing people together to deliver great places.


GI-SAT forms part of the corporate GIS specialism within the Scottish Government, providing a dedicated geospatial information support service and robust analytical evidence to support all policy areas within the Scottish Government and the wider Scottish public sector. The team also manages the Public Sector Geospatial Agreement (PSGA) on behalf of all Scottish public sector organisations and drives the use of corporate geospatial data, analysis, and software, ensuring it effectively supports collaboration and strategic decision-making across the organisation and its partners in the wider Scottish public sector.


This role is specifically tasked with providing analytical support to the Planning, Architecture, and Regeneration Division.


Responsibilities

  • Leads the design and delivery of high-profile geospatial analysis to support planning policy, working closely with senior officials and providing direct analytical advice to ministers.
  • Acts as the principal geospatial advisor for planning policy, translating complex spatial data into actionable insights and ensuring alignment with strategic policy objectives and key data processes within the Scottish planning system.
  • Leads strategic-level meetings and workshops related to data analysis matters.
  • Produces written and verbal thought leadership output on data analysis matters.
  • Represents the data analysis function in management meetings with technical and non-technical colleagues.
  • Is actively involved in the wider data community within the organisation and influences/works with their peers to co-develop best practice.
  • Leads data quality management, data linkage, data visualisation, and a portfolio of data analysis projects, and allocates and develops resources as necessary.
  • Applies their IT and mathematical expertise to ideate and advise on new data analysis methodologies and tooling.
  • Can foresee areas that can generate data issues and proactively develops problem-solving capabilities.

Success Profile

Success profiles are specific to each job, and they include the mix of experience, skills and behaviours candidates will be assessed on.


Experience

  • Lead Criteria 1: You have represented the strategic data and analytics perspective in challenging meetings with senior stakeholders and decision makers (e.g. Ministers) enabling holistic decision-making incorporating data and analytics impacts within a Scottish planning context.
  • Lead Criteria 2: You have led geospatial planning data related projects according to agreed requirements and standards for the delivery of quality digital services, using both specialist geospatial software such as ArcGIS Online and ArcGIS Pro, as well as programming languages like R or Python.
  • You have expertise in the broader field of geospatial data management in order to be able to set up a function delivering data & analytics services to the organisation.
  • You have active involvement in the wider geospatial planning data community, influencing and developing others in order to co-develop best practice.

Experience is assessed at sift, along with a more in-depth assessment at interview.


Technical Skills

This role is aligned to the Data Analyst job role within the Data job family. You can find out more about the skills required, here: Data analyst - Government Digital and Data Profession Capability Framework. These skills are assessed by technical assessment, designed to represent the role. Candidates reaching this stage will receive a Technical Assessment Candidate Pack which outlines the specific skills to be assessed, plus the method of assessment.


Behaviours

  • Delivering at Pace (Level 4)
  • Making Effective Decisions (Level 4)

How To Apply

Apply online, providing a CV and Supporting Statement (of no more than 750 words) which provides evidence of how you meet each of the 4 Experience criteria listed in the Success Profile above.


If a large number of applications are received an initial sift will be conducted on the Lead Criteria highlighted above. Candidates who pass the initial sift will have their applications fully assessed.


Artificial Intelligence (AI) tools can be used to support your application, but all statements and examples 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, and presented as your own) applications will be withdrawn and internal candidates may be subject to disciplinary action.


Please see our candidate guidance for more information on acceptable and unacceptable uses of AI in recruitment.


About Us

The Scottish Government is the devolved government for Scotland. We have responsibility for a wide range of key policy areas including education, health, the economy, justice, housing, and transport. We offer rewarding careers and employ people across Scotland in a wide range of professions and roles.


Our staff are part of the UK Civil Service, working for Ministers and senior stakeholders to deliver vital public services which improve the lives of the people of Scotland.


We offer a supportive and inclusive working environment along with a wide range of employee benefits. Find out more about what we offer.


As part of the UK Civil Service, we uphold the Civil Service Nationality Rules.


Working pattern

Our standard hours are 35 hours per week, we offer flexible working including full-time, part-time, flexitime, and compressed hours depending on the needs of the role.


From October 2025, the Scottish Government will require staff in hybrid-compatible roles to work in-person 40% of the time either in an office or other agreed work location.


If you have specific questions about the role you are applying for, please contact .


Security checks

Successful candidates must complete the Baseline Personnel Security Standard (BPSS), before they can be appointed. BPSS is comprised of four main pre-employment checks – Identity, Right to work, Employment History and a Criminal Record check (unspent convictions).


You can find out more about BPSS on the UK Government website, or read about the different levels of security checks in our Candidate Guide.


DDaT Pay Supplement

This post is part of the Scottish Government Digital, Data and Technology (DDAT) profession, as a member of the profession you will join the professional development system. This post currently attracts a £5,000.00 annual DDAT pay supplement, applicable after a 3-month competency qualifying period. The payment will be backdated to your start date in the role. Pay supplements are reviewed regularly and there is one currently underway. Changes will be communicated when the review is concluded.


Equality Statement

We are committed to equality and inclusion, and we aim to recruit a diverse workforce that reflects the population of our nation.


Find out more about our commitment to diversity and how we offer and support recruitment adjustments for anyone who needs them.


Further information

Find out more about our organisation, what we offer staff members and how to apply on our Careers Website.


Read our Candidate Guide for further information on our recruitment and application processes.


Apply Before: 21st December 2025 (23:59)
Seniority level

Mid-Senior level


Employment type

Part-time


Job function

Information Technology


Industries

Government Administration


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Science and Machine Learning Researcher

Principal Data Science and Machine Learning Researcher

Principal Data Engineer — Hybrid AI Platform

Principal Data Science and Machine Learning Researcher

Principal Data Science and Machine Learning Researcher

Principal Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.