Data Scientist (Planning Data Insights)

Data Scientist (Planning Data Insights)

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Greater London Authority

At a Glance

  • Tasks: Generate data-driven insights for city planning and support key programmes in London.
  • Company: Join the Greater London Authority, shaping the future of London's environment and transport.
  • Benefits: Hybrid working, competitive salary, 30 days annual leave, and attractive loans.
  • Other info: Diverse and inclusive workplace, welcoming applications from all backgrounds.
  • Why this job: Make a real impact on London's development with your data skills and creativity.
  • Qualifications: Strong analytical skills, Python expertise, and experience in spatial planning or related fields.

The predicted salary is between 40000 - 50000 £ per year.

Good Growth is responsible for delivering and implementing the Mayor’s environment, transport and economic strategies, and for the effective implementation of the London Plan. The Directorate also manages regeneration, enterprise, growth, capital projects and design work.

As a Data Scientist in the GLA’s Planning & Regeneration Unit, you will take a leading role in generating data-driven insights on city planning in London, supporting key programmes across planning, housing and infrastructure delivery. You will help shape an emerging insights programme in Planning + Regeneration’s Data & Digital team, extracting and communicating actionable, policy-relevant insights from the Planning London DataHub, which brings together planning application and development proposal data from all London planning authorities.

You will be a super-user, advocate and steward for this dataset, understanding its structure and shaping requirements for downstream users across reporting, data inputting and modelling projects across London’s planning ecosystem. We are looking for someone who can combine strong policy awareness with advanced data analytics expertise, is comfortable working collaboratively with both technical and non-technical specialists, and is eager to make data accessible, engaging, and useful.

Responsibilities

What your day will look like:

  • Data modelling: Contributing to the development of the Planning London DataHub and other planning data services, including defining target architecture for data pipelines from databases to front-end systems, working closely with the PLD Delivery Manager.
  • Statistical analysis & research: Collaborating with policy officers and data scientists to extract insights from planning and related datasets, helping to inform policy decisions, the London Plan evidence base and wider planning policy work. This could include scenario modelling, risk analysis and trend forecasting across London’s development pipeline.
  • Reporting and insights: Leading production of the London Plan Annual Monitoring Report and associated data publications and insights briefings, summarising key indicators on the planning system, providing narrative interpretation, and acting as a key source of quantitative insight on how the system delivers against strategic priorities.

Across this work, you will help build the wider planning data ecosystem, working with policy teams, boroughs, SMEs and technical specialists to turn user needs into robust analytical projects, reusable tools, open data outputs and clearer evidence for decision-making across London.

Qualifications & Skills
  • Problem formulation: Ability to frame complex policy questions and translate them into practical analytical approaches using high-volume, multi-source datasets.
  • Communicating insights: Ability to communicate data and insights clearly with non-technical stakeholders in written, verbal and visual formats.
  • Statistical analysis: Strong grasp of statistical techniques, including regression and cluster analysis, and experience applying them to real-world problems.
  • Built environment experience: Experience working with data in spatial planning, infrastructure, housing or a related built environment field, ideally in London.
  • Statistical programming: Strong Python skills, with experience implementing statistical techniques and machine learning methods in code and building reproducible analytical processes.
  • Quantitative training: A postgraduate degree in a quantitative field strongly related to data science, involving applied mathematics, statistics and coding, or equivalent professional experience.
Benefits

GLA staff are hybrid working up to three days a week in our offices and remotely depending on their role. As part of this, you will need to split your time between home working and coming into the office. In addition to a good salary package, you will be paid every four weeks, providing frequent salary payments. We also offer an attractive range of benefits including thirty days’ annual leave, interest-free season ticket loan, interest-free bicycle loan and a career-average pension scheme.

Equality & Diversity

London’s diversity is its biggest asset, and we strive to ensure our workforce reflects London’s diversity at all levels. We welcome applications from everyone regardless of age, gender, gender identity, gender expression, ethnicity, sexual orientation, faith or disability. We particularly encourage applications from BAME and disabled candidates who are currently under-represented in our workforce. We are a Disability Confident Employer and will accommodate adjustments through the recruitment process as required.

Data Scientist (Planning Data Insights) employer: Greater London Authority

The Greater London Authority (GLA) is an exceptional employer, offering a dynamic work environment where data-driven insights shape the future of London's planning and regeneration. With a strong commitment to employee growth, GLA provides opportunities for professional development, hybrid working arrangements, and a comprehensive benefits package that includes generous annual leave and pension schemes. Emphasising diversity and inclusion, GLA fosters a collaborative culture that values contributions from all backgrounds, making it an ideal place for those passionate about making a meaningful impact in urban development.

Greater London Authority

Contact Details:

Greater London Authority Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist (Planning Data Insights)

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working in data science or urban planning. Attend meetups, webinars, or even local events to make connections that could lead to job opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially those related to urban planning or statistical analysis. This will give potential employers a taste of what you can do and how you can contribute to their team.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to engage with both technical and non-technical stakeholders in this role.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.

We think you need these skills to ace Data Scientist (Planning Data Insights)

Data Modelling
Statistical Analysis
Scenario Modelling
Risk Analysis
Trend Forecasting
Communication Skills
Statistical Programming

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with data analytics, statistical techniques, and any relevant projects that showcase your skills in urban planning or related fields.

Showcase Your Communication Skills:Since you'll be working with both technical and non-technical folks, it's crucial to demonstrate your ability to communicate complex data insights clearly. Use examples in your application that show how you've made data accessible and engaging for different audiences.

Highlight Relevant Experience:If you've worked with datasets in spatial planning, infrastructure, or housing, make sure to mention it! We want to see how your background aligns with the responsibilities of the role, especially your experience with the Planning London DataHub or similar projects.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're keen on joining our team at StudySmarter!

How to prepare for a job interview at Greater London Authority

Know Your Data Inside Out

As a Data Scientist, you'll be working with complex datasets. Make sure you understand the structure of the Planning London DataHub and can discuss how you would extract actionable insights from it. Brush up on your statistical techniques and be ready to explain how you've applied them in real-world scenarios.

Communicate Clearly

You’ll need to convey complex data insights to non-technical stakeholders. Practice explaining your past projects in simple terms, using visuals if possible. This will show that you can bridge the gap between technical and non-technical teams, which is crucial for this role.

Showcase Your Problem-Solving Skills

Prepare examples of how you've framed complex policy questions and turned them into practical analytical approaches. Think about specific challenges you've faced in previous roles and how you overcame them using data-driven solutions.

Be Ready for Scenario Modelling Questions

Given the focus on scenario modelling and trend forecasting, expect questions that test your ability to analyse and predict outcomes based on data. Brush up on your regression and cluster analysis skills, and be prepared to discuss how you would apply these techniques to London's development pipeline.